Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project
Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rabin, Robert M. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Schlagwörter: |
Equivalent Potential Temperature |
|---|
| Anmerkung: |
© Springer (outside the USA) 2015 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Pure and applied geophysics - Springer International Publishing, 1964, 173(2015), 9 vom: 15. Dez., Seite 3085-3102 |
|---|---|
| Übergeordnetes Werk: |
volume:173 ; year:2015 ; number:9 ; day:15 ; month:12 ; pages:3085-3102 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00024-015-1195-6 |
|---|
| Katalog-ID: |
OLC2069504476 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2069504476 | ||
| 003 | DE-627 | ||
| 005 | 20230323112716.0 | ||
| 007 | tu | ||
| 008 | 200819s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00024-015-1195-6 |2 doi | |
| 035 | |a (DE-627)OLC2069504476 | ||
| 035 | |a (DE-He213)s00024-015-1195-6-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 550 |q VZ |
| 082 | 0 | 4 | |a 550 |q VZ |
| 084 | |a 16,13 |2 ssgn | ||
| 100 | 1 | |a Rabin, Robert M. |e verfasserin |0 (orcid)0000-0003-1586-9529 |4 aut | |
| 245 | 1 | 0 | |a Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer (outside the USA) 2015 | ||
| 520 | |a Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. | ||
| 650 | 4 | |a Optical Depth | |
| 650 | 4 | |a Geostationary Satellite | |
| 650 | 4 | |a Equivalent Potential Temperature | |
| 650 | 4 | |a Geostationary Operational Environmental Satellite | |
| 650 | 4 | |a Liquid Water Path | |
| 700 | 1 | |a Gultepe, Ismail |4 aut | |
| 700 | 1 | |a Kuligowski, Robert J. |4 aut | |
| 700 | 1 | |a Heidinger, Andrew K. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Pure and applied geophysics |d Springer International Publishing, 1964 |g 173(2015), 9 vom: 15. Dez., Seite 3085-3102 |w (DE-627)129538353 |w (DE-600)216719-0 |w (DE-576)014971038 |x 0033-4553 |7 nnns |
| 773 | 1 | 8 | |g volume:173 |g year:2015 |g number:9 |g day:15 |g month:12 |g pages:3085-3102 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s00024-015-1195-6 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-PHY | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a SSG-OPC-GEO | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_267 | ||
| 912 | |a GBV_ILN_601 | ||
| 912 | |a GBV_ILN_4028 | ||
| 951 | |a AR | ||
| 952 | |d 173 |j 2015 |e 9 |b 15 |c 12 |h 3085-3102 | ||
| author_variant |
r m r rm rmr i g ig r j k rj rjk a k h ak akh |
|---|---|
| matchkey_str |
article:00334553:2015----::oioignwsngottoayaeltrtivldr |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
10.1007/s00024-015-1195-6 doi (DE-627)OLC2069504476 (DE-He213)s00024-015-1195-6-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Rabin, Robert M. verfasserin (orcid)0000-0003-1586-9529 aut Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer (outside the USA) 2015 Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path Gultepe, Ismail aut Kuligowski, Robert J. aut Heidinger, Andrew K. aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 173(2015), 9 vom: 15. Dez., Seite 3085-3102 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 https://doi.org/10.1007/s00024-015-1195-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 AR 173 2015 9 15 12 3085-3102 |
| spelling |
10.1007/s00024-015-1195-6 doi (DE-627)OLC2069504476 (DE-He213)s00024-015-1195-6-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Rabin, Robert M. verfasserin (orcid)0000-0003-1586-9529 aut Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer (outside the USA) 2015 Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path Gultepe, Ismail aut Kuligowski, Robert J. aut Heidinger, Andrew K. aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 173(2015), 9 vom: 15. Dez., Seite 3085-3102 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 https://doi.org/10.1007/s00024-015-1195-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 AR 173 2015 9 15 12 3085-3102 |
| allfields_unstemmed |
10.1007/s00024-015-1195-6 doi (DE-627)OLC2069504476 (DE-He213)s00024-015-1195-6-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Rabin, Robert M. verfasserin (orcid)0000-0003-1586-9529 aut Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer (outside the USA) 2015 Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path Gultepe, Ismail aut Kuligowski, Robert J. aut Heidinger, Andrew K. aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 173(2015), 9 vom: 15. Dez., Seite 3085-3102 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 https://doi.org/10.1007/s00024-015-1195-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 AR 173 2015 9 15 12 3085-3102 |
| allfieldsGer |
10.1007/s00024-015-1195-6 doi (DE-627)OLC2069504476 (DE-He213)s00024-015-1195-6-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Rabin, Robert M. verfasserin (orcid)0000-0003-1586-9529 aut Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer (outside the USA) 2015 Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path Gultepe, Ismail aut Kuligowski, Robert J. aut Heidinger, Andrew K. aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 173(2015), 9 vom: 15. Dez., Seite 3085-3102 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 https://doi.org/10.1007/s00024-015-1195-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 AR 173 2015 9 15 12 3085-3102 |
| allfieldsSound |
10.1007/s00024-015-1195-6 doi (DE-627)OLC2069504476 (DE-He213)s00024-015-1195-6-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Rabin, Robert M. verfasserin (orcid)0000-0003-1586-9529 aut Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer (outside the USA) 2015 Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path Gultepe, Ismail aut Kuligowski, Robert J. aut Heidinger, Andrew K. aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 173(2015), 9 vom: 15. Dez., Seite 3085-3102 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 https://doi.org/10.1007/s00024-015-1195-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 AR 173 2015 9 15 12 3085-3102 |
| language |
English |
| source |
Enthalten in Pure and applied geophysics 173(2015), 9 vom: 15. Dez., Seite 3085-3102 volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 |
| sourceStr |
Enthalten in Pure and applied geophysics 173(2015), 9 vom: 15. Dez., Seite 3085-3102 volume:173 year:2015 number:9 day:15 month:12 pages:3085-3102 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path |
| dewey-raw |
550 |
| isfreeaccess_bool |
false |
| container_title |
Pure and applied geophysics |
| authorswithroles_txt_mv |
Rabin, Robert M. @@aut@@ Gultepe, Ismail @@aut@@ Kuligowski, Robert J. @@aut@@ Heidinger, Andrew K. @@aut@@ |
| publishDateDaySort_date |
2015-12-15T00:00:00Z |
| hierarchy_top_id |
129538353 |
| dewey-sort |
3550 |
| id |
OLC2069504476 |
| 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">OLC2069504476</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230323112716.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00024-015-1195-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2069504476</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00024-015-1195-6-p</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="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">16,13</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rabin, Robert M.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-1586-9529</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer (outside the USA) 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical Depth</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geostationary Satellite</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Equivalent Potential Temperature</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geostationary Operational Environmental Satellite</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Liquid Water Path</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gultepe, Ismail</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kuligowski, Robert J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Heidinger, Andrew K.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pure and applied geophysics</subfield><subfield code="d">Springer International Publishing, 1964</subfield><subfield code="g">173(2015), 9 vom: 15. Dez., Seite 3085-3102</subfield><subfield code="w">(DE-627)129538353</subfield><subfield code="w">(DE-600)216719-0</subfield><subfield code="w">(DE-576)014971038</subfield><subfield code="x">0033-4553</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:173</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:9</subfield><subfield code="g">day:15</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:3085-3102</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00024-015-1195-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</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_70</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_601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4028</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">173</subfield><subfield code="j">2015</subfield><subfield code="e">9</subfield><subfield code="b">15</subfield><subfield code="c">12</subfield><subfield code="h">3085-3102</subfield></datafield></record></collection>
|
| author |
Rabin, Robert M. |
| spellingShingle |
Rabin, Robert M. ddc 550 ssgn 16,13 misc Optical Depth misc Geostationary Satellite misc Equivalent Potential Temperature misc Geostationary Operational Environmental Satellite misc Liquid Water Path Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project |
| authorStr |
Rabin, Robert M. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129538353 |
| format |
Article |
| dewey-ones |
550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0033-4553 |
| topic_title |
550 VZ 16,13 ssgn Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project Optical Depth Geostationary Satellite Equivalent Potential Temperature Geostationary Operational Environmental Satellite Liquid Water Path |
| topic |
ddc 550 ssgn 16,13 misc Optical Depth misc Geostationary Satellite misc Equivalent Potential Temperature misc Geostationary Operational Environmental Satellite misc Liquid Water Path |
| topic_unstemmed |
ddc 550 ssgn 16,13 misc Optical Depth misc Geostationary Satellite misc Equivalent Potential Temperature misc Geostationary Operational Environmental Satellite misc Liquid Water Path |
| topic_browse |
ddc 550 ssgn 16,13 misc Optical Depth misc Geostationary Satellite misc Equivalent Potential Temperature misc Geostationary Operational Environmental Satellite misc Liquid Water Path |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Pure and applied geophysics |
| hierarchy_parent_id |
129538353 |
| dewey-tens |
550 - Earth sciences & geology |
| hierarchy_top_title |
Pure and applied geophysics |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 |
| title |
Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project |
| ctrlnum |
(DE-627)OLC2069504476 (DE-He213)s00024-015-1195-6-p |
| title_full |
Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project |
| author_sort |
Rabin, Robert M. |
| journal |
Pure and applied geophysics |
| journalStr |
Pure and applied geophysics |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
3085 |
| author_browse |
Rabin, Robert M. Gultepe, Ismail Kuligowski, Robert J. Heidinger, Andrew K. |
| container_volume |
173 |
| class |
550 VZ 16,13 ssgn |
| format_se |
Aufsätze |
| author-letter |
Rabin, Robert M. |
| doi_str_mv |
10.1007/s00024-015-1195-6 |
| normlink |
(ORCID)0000-0003-1586-9529 |
| normlink_prefix_str_mv |
(orcid)0000-0003-1586-9529 |
| dewey-full |
550 |
| title_sort |
monitoring snow using geostationary satellite retrievals during the saawso project |
| title_auth |
Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project |
| abstract |
Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. © Springer (outside the USA) 2015 |
| abstractGer |
Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. © Springer (outside the USA) 2015 |
| abstract_unstemmed |
Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event. © Springer (outside the USA) 2015 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_22 GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 GBV_ILN_4028 |
| container_issue |
9 |
| title_short |
Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project |
| url |
https://doi.org/10.1007/s00024-015-1195-6 |
| remote_bool |
false |
| author2 |
Gultepe, Ismail Kuligowski, Robert J. Heidinger, Andrew K. |
| author2Str |
Gultepe, Ismail Kuligowski, Robert J. Heidinger, Andrew K. |
| ppnlink |
129538353 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00024-015-1195-6 |
| up_date |
2024-07-03T22:26:47.852Z |
| _version_ |
1803598543301115904 |
| 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">OLC2069504476</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230323112716.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00024-015-1195-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2069504476</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00024-015-1195-6-p</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="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">16,13</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rabin, Robert M.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-1586-9529</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Monitoring Snow Using Geostationary Satellite Retrievals During the SAAWSO Project</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer (outside the USA) 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The SAAWSO (Satellite Applications for Arctic Weather and SAR (Search And Rescue) Operations) field programs were conducted by Environment Canada near St. Johns, NL and Goose Bay, NL in the winters of 2012–13 and 2013–14, respectively. The goals of these programs were to validate satellite-based nowcasting products, including snow amount, wind intensity, and cloud physical parameters (e.g., cloud cover), over northern latitudes with potential applications to Search And Rescue (SAR) operations. Ground-based in situ sensors and remote sensing platforms were used to measure microphysical properties of precipitation, clouds and fog, radiation, temperature, moisture and wind profiles. Multi-spectral infrared observations obtained from Geostationary Operational Environmental Satellite (GOES)-13 provided estimates of cloud top temperature and height, phase (water, ice), hydrometer size, extinction, optical depth, and horizontal wind patterns at 15 min intervals. In this work, a technique developed for identifying clouds capable of producing high snowfall rates and incorporating wind information from the satellite observations is described. The cloud top physical properties retrieved from operational satellite observations are validated using measurements obtained from the ground-based in situ and remote sensing platforms collected during two precipitation events: a blizzard heavy snow storm case and a moderate snow event. The retrieved snow precipitation rates are found to be comparable to those of ground-based platform measurements in the heavy snow event.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical Depth</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geostationary Satellite</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Equivalent Potential Temperature</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geostationary Operational Environmental Satellite</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Liquid Water Path</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gultepe, Ismail</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kuligowski, Robert J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Heidinger, Andrew K.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pure and applied geophysics</subfield><subfield code="d">Springer International Publishing, 1964</subfield><subfield code="g">173(2015), 9 vom: 15. Dez., Seite 3085-3102</subfield><subfield code="w">(DE-627)129538353</subfield><subfield code="w">(DE-600)216719-0</subfield><subfield code="w">(DE-576)014971038</subfield><subfield code="x">0033-4553</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:173</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:9</subfield><subfield code="g">day:15</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:3085-3102</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00024-015-1195-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</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_70</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_601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4028</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">173</subfield><subfield code="j">2015</subfield><subfield code="e">9</subfield><subfield code="b">15</subfield><subfield code="c">12</subfield><subfield code="h">3085-3102</subfield></datafield></record></collection>
|
| score |
7.401863 |