Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature
<p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
T. von Clarmann [verfasserIn] D. A. Degenstein [verfasserIn] N. J. Livesey [verfasserIn] S. Bender [verfasserIn] A. Braverman [verfasserIn] A. Butz [verfasserIn] S. Compernolle [verfasserIn] R. Damadeo [verfasserIn] S. Dueck [verfasserIn] P. Eriksson [verfasserIn] B. Funke [verfasserIn] M. C. Johnson [verfasserIn] Y. Kasai [verfasserIn] A. Keppens [verfasserIn] A. Kleinert [verfasserIn] N. A. Kramarova [verfasserIn] A. Laeng [verfasserIn] B. Langerock [verfasserIn] V. H. Payne [verfasserIn] A. Rozanov [verfasserIn] T. O. Sato [verfasserIn] M. Schneider [verfasserIn] P. Sheese [verfasserIn] V. Sofieva [verfasserIn] G. P. Stiller [verfasserIn] C. von Savigny [verfasserIn] D. Zawada [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2020 |
|---|
| Übergeordnetes Werk: |
In: Atmospheric Measurement Techniques - Copernicus Publications, 2009, 13(2020), Seite 4393-4436 |
|---|---|
| Übergeordnetes Werk: |
volume:13 ; year:2020 ; pages:4393-4436 |
| Links: |
Link aufrufen |
|---|
| DOI / URN: |
10.5194/amt-13-4393-2020 |
|---|
| Katalog-ID: |
DOAJ060380985 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | DOAJ060380985 | ||
| 003 | DE-627 | ||
| 005 | 20230309002308.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230228s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.5194/amt-13-4393-2020 |2 doi | |
| 035 | |a (DE-627)DOAJ060380985 | ||
| 035 | |a (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 050 | 0 | |a TA170-171 | |
| 050 | 0 | |a TA715-787 | |
| 100 | 0 | |a T. von Clarmann |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a <p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< | ||
| 653 | 0 | |a Environmental engineering | |
| 653 | 0 | |a Earthwork. Foundations | |
| 700 | 0 | |a D. A. Degenstein |e verfasserin |4 aut | |
| 700 | 0 | |a N. J. Livesey |e verfasserin |4 aut | |
| 700 | 0 | |a S. Bender |e verfasserin |4 aut | |
| 700 | 0 | |a A. Braverman |e verfasserin |4 aut | |
| 700 | 0 | |a A. Butz |e verfasserin |4 aut | |
| 700 | 0 | |a S. Compernolle |e verfasserin |4 aut | |
| 700 | 0 | |a R. Damadeo |e verfasserin |4 aut | |
| 700 | 0 | |a S. Dueck |e verfasserin |4 aut | |
| 700 | 0 | |a P. Eriksson |e verfasserin |4 aut | |
| 700 | 0 | |a B. Funke |e verfasserin |4 aut | |
| 700 | 0 | |a M. C. Johnson |e verfasserin |4 aut | |
| 700 | 0 | |a Y. Kasai |e verfasserin |4 aut | |
| 700 | 0 | |a A. Keppens |e verfasserin |4 aut | |
| 700 | 0 | |a A. Kleinert |e verfasserin |4 aut | |
| 700 | 0 | |a N. A. Kramarova |e verfasserin |4 aut | |
| 700 | 0 | |a A. Laeng |e verfasserin |4 aut | |
| 700 | 0 | |a B. Langerock |e verfasserin |4 aut | |
| 700 | 0 | |a V. H. Payne |e verfasserin |4 aut | |
| 700 | 0 | |a A. Rozanov |e verfasserin |4 aut | |
| 700 | 0 | |a T. O. Sato |e verfasserin |4 aut | |
| 700 | 0 | |a M. Schneider |e verfasserin |4 aut | |
| 700 | 0 | |a P. Sheese |e verfasserin |4 aut | |
| 700 | 0 | |a V. Sofieva |e verfasserin |4 aut | |
| 700 | 0 | |a G. P. Stiller |e verfasserin |4 aut | |
| 700 | 0 | |a C. von Savigny |e verfasserin |4 aut | |
| 700 | 0 | |a D. Zawada |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i In |t Atmospheric Measurement Techniques |d Copernicus Publications, 2009 |g 13(2020), Seite 4393-4436 |w (DE-627)605214441 |w (DE-600)2505596-3 |x 18678548 |7 nnns |
| 773 | 1 | 8 | |g volume:13 |g year:2020 |g pages:4393-4436 |
| 856 | 4 | 0 | |u https://doi.org/10.5194/amt-13-4393-2020 |z kostenfrei |
| 856 | 4 | 0 | |u https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 |z kostenfrei |
| 856 | 4 | 0 | |u https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/1867-1381 |y Journal toc |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/1867-8548 |y Journal toc |z kostenfrei |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_DOAJ | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_20 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_23 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_39 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_63 | ||
| 912 | |a GBV_ILN_65 | ||
| 912 | |a GBV_ILN_69 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_73 | ||
| 912 | |a GBV_ILN_95 | ||
| 912 | |a GBV_ILN_105 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_151 | ||
| 912 | |a GBV_ILN_161 | ||
| 912 | |a GBV_ILN_170 | ||
| 912 | |a GBV_ILN_206 | ||
| 912 | |a GBV_ILN_213 | ||
| 912 | |a GBV_ILN_230 | ||
| 912 | |a GBV_ILN_267 | ||
| 912 | |a GBV_ILN_285 | ||
| 912 | |a GBV_ILN_293 | ||
| 912 | |a GBV_ILN_370 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2055 | ||
| 912 | |a GBV_ILN_2111 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4112 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4126 | ||
| 912 | |a GBV_ILN_4249 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4307 | ||
| 912 | |a GBV_ILN_4313 | ||
| 912 | |a GBV_ILN_4322 | ||
| 912 | |a GBV_ILN_4323 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4338 | ||
| 912 | |a GBV_ILN_4367 | ||
| 912 | |a GBV_ILN_4700 | ||
| 951 | |a AR | ||
| 952 | |d 13 |j 2020 |h 4393-4436 | ||
| author_variant |
t v c tvc d a d dad n j l njl s b sb a b ab a b ab s c sc r d rd s d sd p e pe b f bf m c j mcj y k yk a k ak a k ak n a k nak a l al b l bl v h p vhp a r ar t o s tos m s ms p s ps v s vs g p s gps c v s cvs d z dz |
|---|---|
| matchkey_str |
article:18678548:2020----::vriwsiaignrprignetiteirmtlsneamshr |
| hierarchy_sort_str |
2020 |
| callnumber-subject-code |
TA |
| publishDate |
2020 |
| allfields |
10.5194/amt-13-4393-2020 doi (DE-627)DOAJ060380985 (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 T. von Clarmann verfasserin aut Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< Environmental engineering Earthwork. Foundations D. A. Degenstein verfasserin aut N. J. Livesey verfasserin aut S. Bender verfasserin aut A. Braverman verfasserin aut A. Butz verfasserin aut S. Compernolle verfasserin aut R. Damadeo verfasserin aut S. Dueck verfasserin aut P. Eriksson verfasserin aut B. Funke verfasserin aut M. C. Johnson verfasserin aut Y. Kasai verfasserin aut A. Keppens verfasserin aut A. Kleinert verfasserin aut N. A. Kramarova verfasserin aut A. Laeng verfasserin aut B. Langerock verfasserin aut V. H. Payne verfasserin aut A. Rozanov verfasserin aut T. O. Sato verfasserin aut M. Schneider verfasserin aut P. Sheese verfasserin aut V. Sofieva verfasserin aut G. P. Stiller verfasserin aut C. von Savigny verfasserin aut D. Zawada verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 13(2020), Seite 4393-4436 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:13 year:2020 pages:4393-4436 https://doi.org/10.5194/amt-13-4393-2020 kostenfrei https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 kostenfrei https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 4393-4436 |
| spelling |
10.5194/amt-13-4393-2020 doi (DE-627)DOAJ060380985 (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 T. von Clarmann verfasserin aut Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< Environmental engineering Earthwork. Foundations D. A. Degenstein verfasserin aut N. J. Livesey verfasserin aut S. Bender verfasserin aut A. Braverman verfasserin aut A. Butz verfasserin aut S. Compernolle verfasserin aut R. Damadeo verfasserin aut S. Dueck verfasserin aut P. Eriksson verfasserin aut B. Funke verfasserin aut M. C. Johnson verfasserin aut Y. Kasai verfasserin aut A. Keppens verfasserin aut A. Kleinert verfasserin aut N. A. Kramarova verfasserin aut A. Laeng verfasserin aut B. Langerock verfasserin aut V. H. Payne verfasserin aut A. Rozanov verfasserin aut T. O. Sato verfasserin aut M. Schneider verfasserin aut P. Sheese verfasserin aut V. Sofieva verfasserin aut G. P. Stiller verfasserin aut C. von Savigny verfasserin aut D. Zawada verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 13(2020), Seite 4393-4436 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:13 year:2020 pages:4393-4436 https://doi.org/10.5194/amt-13-4393-2020 kostenfrei https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 kostenfrei https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 4393-4436 |
| allfields_unstemmed |
10.5194/amt-13-4393-2020 doi (DE-627)DOAJ060380985 (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 T. von Clarmann verfasserin aut Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< Environmental engineering Earthwork. Foundations D. A. Degenstein verfasserin aut N. J. Livesey verfasserin aut S. Bender verfasserin aut A. Braverman verfasserin aut A. Butz verfasserin aut S. Compernolle verfasserin aut R. Damadeo verfasserin aut S. Dueck verfasserin aut P. Eriksson verfasserin aut B. Funke verfasserin aut M. C. Johnson verfasserin aut Y. Kasai verfasserin aut A. Keppens verfasserin aut A. Kleinert verfasserin aut N. A. Kramarova verfasserin aut A. Laeng verfasserin aut B. Langerock verfasserin aut V. H. Payne verfasserin aut A. Rozanov verfasserin aut T. O. Sato verfasserin aut M. Schneider verfasserin aut P. Sheese verfasserin aut V. Sofieva verfasserin aut G. P. Stiller verfasserin aut C. von Savigny verfasserin aut D. Zawada verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 13(2020), Seite 4393-4436 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:13 year:2020 pages:4393-4436 https://doi.org/10.5194/amt-13-4393-2020 kostenfrei https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 kostenfrei https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 4393-4436 |
| allfieldsGer |
10.5194/amt-13-4393-2020 doi (DE-627)DOAJ060380985 (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 T. von Clarmann verfasserin aut Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< Environmental engineering Earthwork. Foundations D. A. Degenstein verfasserin aut N. J. Livesey verfasserin aut S. Bender verfasserin aut A. Braverman verfasserin aut A. Butz verfasserin aut S. Compernolle verfasserin aut R. Damadeo verfasserin aut S. Dueck verfasserin aut P. Eriksson verfasserin aut B. Funke verfasserin aut M. C. Johnson verfasserin aut Y. Kasai verfasserin aut A. Keppens verfasserin aut A. Kleinert verfasserin aut N. A. Kramarova verfasserin aut A. Laeng verfasserin aut B. Langerock verfasserin aut V. H. Payne verfasserin aut A. Rozanov verfasserin aut T. O. Sato verfasserin aut M. Schneider verfasserin aut P. Sheese verfasserin aut V. Sofieva verfasserin aut G. P. Stiller verfasserin aut C. von Savigny verfasserin aut D. Zawada verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 13(2020), Seite 4393-4436 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:13 year:2020 pages:4393-4436 https://doi.org/10.5194/amt-13-4393-2020 kostenfrei https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 kostenfrei https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 4393-4436 |
| allfieldsSound |
10.5194/amt-13-4393-2020 doi (DE-627)DOAJ060380985 (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 T. von Clarmann verfasserin aut Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< Environmental engineering Earthwork. Foundations D. A. Degenstein verfasserin aut N. J. Livesey verfasserin aut S. Bender verfasserin aut A. Braverman verfasserin aut A. Butz verfasserin aut S. Compernolle verfasserin aut R. Damadeo verfasserin aut S. Dueck verfasserin aut P. Eriksson verfasserin aut B. Funke verfasserin aut M. C. Johnson verfasserin aut Y. Kasai verfasserin aut A. Keppens verfasserin aut A. Kleinert verfasserin aut N. A. Kramarova verfasserin aut A. Laeng verfasserin aut B. Langerock verfasserin aut V. H. Payne verfasserin aut A. Rozanov verfasserin aut T. O. Sato verfasserin aut M. Schneider verfasserin aut P. Sheese verfasserin aut V. Sofieva verfasserin aut G. P. Stiller verfasserin aut C. von Savigny verfasserin aut D. Zawada verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 13(2020), Seite 4393-4436 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:13 year:2020 pages:4393-4436 https://doi.org/10.5194/amt-13-4393-2020 kostenfrei https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 kostenfrei https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 4393-4436 |
| language |
English |
| source |
In Atmospheric Measurement Techniques 13(2020), Seite 4393-4436 volume:13 year:2020 pages:4393-4436 |
| sourceStr |
In Atmospheric Measurement Techniques 13(2020), Seite 4393-4436 volume:13 year:2020 pages:4393-4436 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Environmental engineering Earthwork. Foundations |
| isfreeaccess_bool |
true |
| container_title |
Atmospheric Measurement Techniques |
| authorswithroles_txt_mv |
T. von Clarmann @@aut@@ D. A. Degenstein @@aut@@ N. J. Livesey @@aut@@ S. Bender @@aut@@ A. Braverman @@aut@@ A. Butz @@aut@@ S. Compernolle @@aut@@ R. Damadeo @@aut@@ S. Dueck @@aut@@ P. Eriksson @@aut@@ B. Funke @@aut@@ M. C. Johnson @@aut@@ Y. Kasai @@aut@@ A. Keppens @@aut@@ A. Kleinert @@aut@@ N. A. Kramarova @@aut@@ A. Laeng @@aut@@ B. Langerock @@aut@@ V. H. Payne @@aut@@ A. Rozanov @@aut@@ T. O. Sato @@aut@@ M. Schneider @@aut@@ P. Sheese @@aut@@ V. Sofieva @@aut@@ G. P. Stiller @@aut@@ C. von Savigny @@aut@@ D. Zawada @@aut@@ |
| publishDateDaySort_date |
2020-01-01T00:00:00Z |
| hierarchy_top_id |
605214441 |
| id |
DOAJ060380985 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ060380985</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309002308.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.5194/amt-13-4393-2020</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ060380985</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA170-171</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA715-787</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">T. von Clarmann</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a"><p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Earthwork. Foundations</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">D. A. Degenstein</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">N. J. Livesey</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">S. Bender</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Braverman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Butz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">S. Compernolle</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">R. Damadeo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">S. Dueck</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">P. Eriksson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">B. Funke</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. C. Johnson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Y. Kasai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Keppens</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Kleinert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">N. A. Kramarova</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Laeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">B. Langerock</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">V. H. Payne</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Rozanov</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">T. O. Sato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. Schneider</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">P. Sheese</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">V. Sofieva</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">G. P. Stiller</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">C. von Savigny</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">D. Zawada</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Atmospheric Measurement Techniques</subfield><subfield code="d">Copernicus Publications, 2009</subfield><subfield code="g">13(2020), Seite 4393-4436</subfield><subfield code="w">(DE-627)605214441</subfield><subfield code="w">(DE-600)2505596-3</subfield><subfield code="x">18678548</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2020</subfield><subfield code="g">pages:4393-4436</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.5194/amt-13-4393-2020</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1867-1381</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1867-8548</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2020</subfield><subfield code="h">4393-4436</subfield></datafield></record></collection>
|
| callnumber-first |
T - Technology |
| author |
T. von Clarmann |
| spellingShingle |
T. von Clarmann misc TA170-171 misc TA715-787 misc Environmental engineering misc Earthwork. Foundations Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| authorStr |
T. von Clarmann |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)605214441 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut |
| collection |
DOAJ |
| remote_str |
true |
| callnumber-label |
TA170-171 |
| illustrated |
Not Illustrated |
| issn |
18678548 |
| topic_title |
TA170-171 TA715-787 Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| topic |
misc TA170-171 misc TA715-787 misc Environmental engineering misc Earthwork. Foundations |
| topic_unstemmed |
misc TA170-171 misc TA715-787 misc Environmental engineering misc Earthwork. Foundations |
| topic_browse |
misc TA170-171 misc TA715-787 misc Environmental engineering misc Earthwork. Foundations |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Atmospheric Measurement Techniques |
| hierarchy_parent_id |
605214441 |
| hierarchy_top_title |
Atmospheric Measurement Techniques |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)605214441 (DE-600)2505596-3 |
| title |
Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| ctrlnum |
(DE-627)DOAJ060380985 (DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9 |
| title_full |
Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| author_sort |
T. von Clarmann |
| journal |
Atmospheric Measurement Techniques |
| journalStr |
Atmospheric Measurement Techniques |
| callnumber-first-code |
T |
| lang_code |
eng |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2020 |
| contenttype_str_mv |
txt |
| container_start_page |
4393 |
| author_browse |
T. von Clarmann D. A. Degenstein N. J. Livesey S. Bender A. Braverman A. Butz S. Compernolle R. Damadeo S. Dueck P. Eriksson B. Funke M. C. Johnson Y. Kasai A. Keppens A. Kleinert N. A. Kramarova A. Laeng B. Langerock V. H. Payne A. Rozanov T. O. Sato M. Schneider P. Sheese V. Sofieva G. P. Stiller C. von Savigny D. Zawada |
| container_volume |
13 |
| class |
TA170-171 TA715-787 |
| format_se |
Elektronische Aufsätze |
| author-letter |
T. von Clarmann |
| doi_str_mv |
10.5194/amt-13-4393-2020 |
| author2-role |
verfasserin |
| title_sort |
overview: estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| callnumber |
TA170-171 |
| title_auth |
Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| abstract |
<p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< |
| abstractGer |
<p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< |
| abstract_unstemmed |
<p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p< |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
| title_short |
Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature |
| url |
https://doi.org/10.5194/amt-13-4393-2020 https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9 https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 |
| remote_bool |
true |
| author2 |
D. A. Degenstein N. J. Livesey S. Bender A. Braverman A. Butz S. Compernolle R. Damadeo S. Dueck P. Eriksson B. Funke M. C. Johnson Y. Kasai A. Keppens A. Kleinert N. A. Kramarova A. Laeng B. Langerock V. H. Payne A. Rozanov T. O. Sato M. Schneider P. Sheese V. Sofieva G. P. Stiller C. von Savigny D. Zawada |
| author2Str |
D. A. Degenstein N. J. Livesey S. Bender A. Braverman A. Butz S. Compernolle R. Damadeo S. Dueck P. Eriksson B. Funke M. C. Johnson Y. Kasai A. Keppens A. Kleinert N. A. Kramarova A. Laeng B. Langerock V. H. Payne A. Rozanov T. O. Sato M. Schneider P. Sheese V. Sofieva G. P. Stiller C. von Savigny D. Zawada |
| ppnlink |
605214441 |
| callnumber-subject |
TA - General and Civil Engineering |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.5194/amt-13-4393-2020 |
| callnumber-a |
TA170-171 |
| up_date |
2024-07-03T14:36:46.578Z |
| _version_ |
1803568972128321536 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ060380985</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309002308.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.5194/amt-13-4393-2020</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ060380985</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ0bb8d003aa8c4d81944245a2b2782ca9</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA170-171</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA715-787</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">T. von Clarmann</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a"><p<Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. Reported characterization data should be intercomparable between different instruments, empirically validatable, grid-independent, usable without detailed knowledge of the instrument or retrieval technique, traceable and still have reasonable data volume. The latter may force one to work with representative rather than individual characterization data. Many errors derive from approximations and simplifications used in real-world retrieval schemes, which are reviewed in this paper, along with related error estimation schemes. The main sources of uncertainty are measurement noise, calibration errors, simplifications and idealizations in the radiative transfer model and retrieval scheme, auxiliary data errors, and uncertainties in atmospheric or instrumental parameters. Some of these errors affect the result in a random way, while others chiefly cause a bias or are of mixed character. Beyond this, it is of utmost importance to know the influence of any constraint and prior information on the solution. While different instruments or retrieval schemes may require different error estimation schemes, we provide a list of recommendations which should help to unify retrieval error reporting.</p<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Earthwork. Foundations</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">D. A. Degenstein</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">N. J. Livesey</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">S. Bender</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Braverman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Butz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">S. Compernolle</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">R. Damadeo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">S. Dueck</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">P. Eriksson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">B. Funke</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. C. Johnson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Y. Kasai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Keppens</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Kleinert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">N. A. Kramarova</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Laeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">B. Langerock</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">V. H. Payne</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. Rozanov</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">T. O. Sato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. Schneider</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">P. Sheese</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">V. Sofieva</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">G. P. Stiller</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">C. von Savigny</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">D. Zawada</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Atmospheric Measurement Techniques</subfield><subfield code="d">Copernicus Publications, 2009</subfield><subfield code="g">13(2020), Seite 4393-4436</subfield><subfield code="w">(DE-627)605214441</subfield><subfield code="w">(DE-600)2505596-3</subfield><subfield code="x">18678548</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2020</subfield><subfield code="g">pages:4393-4436</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.5194/amt-13-4393-2020</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/0bb8d003aa8c4d81944245a2b2782ca9</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://amt.copernicus.org/articles/13/4393/2020/amt-13-4393-2020.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1867-1381</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1867-8548</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2020</subfield><subfield code="h">4393-4436</subfield></datafield></record></collection>
|
| score |
7.400199 |