The European Russia Drought Atlas (1400–2016 CE)
Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cook, Edward R. [verfasserIn] Solomina, Olga [verfasserIn] Matskovsky, Vladimir [verfasserIn] Cook, Benjamin I. [verfasserIn] Agafonov, Leonid [verfasserIn] Berdnikova, Alina [verfasserIn] Dolgova, Ekaterina [verfasserIn] Karpukhin, Aleksey [verfasserIn] Knysh, Natallia [verfasserIn] Kulakova, Marina [verfasserIn] Kuznetsova, Veronika [verfasserIn] Kyncl, Tomáš [verfasserIn] Kyncl, Josef [verfasserIn] Maximova, Olga [verfasserIn] Panyushkina, Irina [verfasserIn] Seim, Andrea [verfasserIn] Tishin, Denis [verfasserIn] Ważny, Tomasz [verfasserIn] Yermokhin, Maxim [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Climate dynamics - Berlin : Springer, 1986, 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 |
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| Übergeordnetes Werk: |
volume:54 ; year:2020 ; number:3-4 ; day:18 ; month:01 ; pages:2317-2335 |
| Links: |
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| DOI / URN: |
10.1007/s00382-019-05115-2 |
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| Katalog-ID: |
SPR004687884 |
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| 100 | 1 | |a Cook, Edward R. |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The European Russia Drought Atlas (1400–2016 CE) |
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| 520 | |a Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. | ||
| 650 | 4 | |a European Russia |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a East European plain |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Drought atlas |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Tree-ring network |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Droughts and heat waves |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Solomina, Olga |e verfasserin |4 aut | |
| 700 | 1 | |a Matskovsky, Vladimir |e verfasserin |4 aut | |
| 700 | 1 | |a Cook, Benjamin I. |e verfasserin |4 aut | |
| 700 | 1 | |a Agafonov, Leonid |e verfasserin |4 aut | |
| 700 | 1 | |a Berdnikova, Alina |e verfasserin |4 aut | |
| 700 | 1 | |a Dolgova, Ekaterina |e verfasserin |4 aut | |
| 700 | 1 | |a Karpukhin, Aleksey |e verfasserin |4 aut | |
| 700 | 1 | |a Knysh, Natallia |e verfasserin |4 aut | |
| 700 | 1 | |a Kulakova, Marina |e verfasserin |4 aut | |
| 700 | 1 | |a Kuznetsova, Veronika |e verfasserin |4 aut | |
| 700 | 1 | |a Kyncl, Tomáš |e verfasserin |4 aut | |
| 700 | 1 | |a Kyncl, Josef |e verfasserin |4 aut | |
| 700 | 1 | |a Maximova, Olga |e verfasserin |4 aut | |
| 700 | 1 | |a Panyushkina, Irina |e verfasserin |4 aut | |
| 700 | 1 | |a Seim, Andrea |e verfasserin |4 aut | |
| 700 | 1 | |a Tishin, Denis |e verfasserin |4 aut | |
| 700 | 1 | |a Ważny, Tomasz |e verfasserin |4 aut | |
| 700 | 1 | |a Yermokhin, Maxim |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Climate dynamics |d Berlin : Springer, 1986 |g 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 |w (DE-627)268128561 |w (DE-600)1471747-5 |x 1432-0894 |7 nnns |
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10.1007/s00382-019-05115-2 doi (DE-627)SPR004687884 (SPR)s00382-019-05115-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Cook, Edward R. verfasserin aut The European Russia Drought Atlas (1400–2016 CE) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. European Russia (dpeaa)DE-He213 East European plain (dpeaa)DE-He213 Drought atlas (dpeaa)DE-He213 Tree-ring network (dpeaa)DE-He213 Droughts and heat waves (dpeaa)DE-He213 Solomina, Olga verfasserin aut Matskovsky, Vladimir verfasserin aut Cook, Benjamin I. verfasserin aut Agafonov, Leonid verfasserin aut Berdnikova, Alina verfasserin aut Dolgova, Ekaterina verfasserin aut Karpukhin, Aleksey verfasserin aut Knysh, Natallia verfasserin aut Kulakova, Marina verfasserin aut Kuznetsova, Veronika verfasserin aut Kyncl, Tomáš verfasserin aut Kyncl, Josef verfasserin aut Maximova, Olga verfasserin aut Panyushkina, Irina verfasserin aut Seim, Andrea verfasserin aut Tishin, Denis verfasserin aut Ważny, Tomasz verfasserin aut Yermokhin, Maxim verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:54 year:2020 number:3-4 day:18 month:01 pages:2317-2335 https://dx.doi.org/10.1007/s00382-019-05115-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 54 2020 3-4 18 01 2317-2335 |
| spelling |
10.1007/s00382-019-05115-2 doi (DE-627)SPR004687884 (SPR)s00382-019-05115-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Cook, Edward R. verfasserin aut The European Russia Drought Atlas (1400–2016 CE) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. European Russia (dpeaa)DE-He213 East European plain (dpeaa)DE-He213 Drought atlas (dpeaa)DE-He213 Tree-ring network (dpeaa)DE-He213 Droughts and heat waves (dpeaa)DE-He213 Solomina, Olga verfasserin aut Matskovsky, Vladimir verfasserin aut Cook, Benjamin I. verfasserin aut Agafonov, Leonid verfasserin aut Berdnikova, Alina verfasserin aut Dolgova, Ekaterina verfasserin aut Karpukhin, Aleksey verfasserin aut Knysh, Natallia verfasserin aut Kulakova, Marina verfasserin aut Kuznetsova, Veronika verfasserin aut Kyncl, Tomáš verfasserin aut Kyncl, Josef verfasserin aut Maximova, Olga verfasserin aut Panyushkina, Irina verfasserin aut Seim, Andrea verfasserin aut Tishin, Denis verfasserin aut Ważny, Tomasz verfasserin aut Yermokhin, Maxim verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:54 year:2020 number:3-4 day:18 month:01 pages:2317-2335 https://dx.doi.org/10.1007/s00382-019-05115-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 54 2020 3-4 18 01 2317-2335 |
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10.1007/s00382-019-05115-2 doi (DE-627)SPR004687884 (SPR)s00382-019-05115-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Cook, Edward R. verfasserin aut The European Russia Drought Atlas (1400–2016 CE) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. European Russia (dpeaa)DE-He213 East European plain (dpeaa)DE-He213 Drought atlas (dpeaa)DE-He213 Tree-ring network (dpeaa)DE-He213 Droughts and heat waves (dpeaa)DE-He213 Solomina, Olga verfasserin aut Matskovsky, Vladimir verfasserin aut Cook, Benjamin I. verfasserin aut Agafonov, Leonid verfasserin aut Berdnikova, Alina verfasserin aut Dolgova, Ekaterina verfasserin aut Karpukhin, Aleksey verfasserin aut Knysh, Natallia verfasserin aut Kulakova, Marina verfasserin aut Kuznetsova, Veronika verfasserin aut Kyncl, Tomáš verfasserin aut Kyncl, Josef verfasserin aut Maximova, Olga verfasserin aut Panyushkina, Irina verfasserin aut Seim, Andrea verfasserin aut Tishin, Denis verfasserin aut Ważny, Tomasz verfasserin aut Yermokhin, Maxim verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:54 year:2020 number:3-4 day:18 month:01 pages:2317-2335 https://dx.doi.org/10.1007/s00382-019-05115-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 54 2020 3-4 18 01 2317-2335 |
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10.1007/s00382-019-05115-2 doi (DE-627)SPR004687884 (SPR)s00382-019-05115-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Cook, Edward R. verfasserin aut The European Russia Drought Atlas (1400–2016 CE) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. European Russia (dpeaa)DE-He213 East European plain (dpeaa)DE-He213 Drought atlas (dpeaa)DE-He213 Tree-ring network (dpeaa)DE-He213 Droughts and heat waves (dpeaa)DE-He213 Solomina, Olga verfasserin aut Matskovsky, Vladimir verfasserin aut Cook, Benjamin I. verfasserin aut Agafonov, Leonid verfasserin aut Berdnikova, Alina verfasserin aut Dolgova, Ekaterina verfasserin aut Karpukhin, Aleksey verfasserin aut Knysh, Natallia verfasserin aut Kulakova, Marina verfasserin aut Kuznetsova, Veronika verfasserin aut Kyncl, Tomáš verfasserin aut Kyncl, Josef verfasserin aut Maximova, Olga verfasserin aut Panyushkina, Irina verfasserin aut Seim, Andrea verfasserin aut Tishin, Denis verfasserin aut Ważny, Tomasz verfasserin aut Yermokhin, Maxim verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:54 year:2020 number:3-4 day:18 month:01 pages:2317-2335 https://dx.doi.org/10.1007/s00382-019-05115-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 54 2020 3-4 18 01 2317-2335 |
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10.1007/s00382-019-05115-2 doi (DE-627)SPR004687884 (SPR)s00382-019-05115-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Cook, Edward R. verfasserin aut The European Russia Drought Atlas (1400–2016 CE) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. European Russia (dpeaa)DE-He213 East European plain (dpeaa)DE-He213 Drought atlas (dpeaa)DE-He213 Tree-ring network (dpeaa)DE-He213 Droughts and heat waves (dpeaa)DE-He213 Solomina, Olga verfasserin aut Matskovsky, Vladimir verfasserin aut Cook, Benjamin I. verfasserin aut Agafonov, Leonid verfasserin aut Berdnikova, Alina verfasserin aut Dolgova, Ekaterina verfasserin aut Karpukhin, Aleksey verfasserin aut Knysh, Natallia verfasserin aut Kulakova, Marina verfasserin aut Kuznetsova, Veronika verfasserin aut Kyncl, Tomáš verfasserin aut Kyncl, Josef verfasserin aut Maximova, Olga verfasserin aut Panyushkina, Irina verfasserin aut Seim, Andrea verfasserin aut Tishin, Denis verfasserin aut Ważny, Tomasz verfasserin aut Yermokhin, Maxim verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:54 year:2020 number:3-4 day:18 month:01 pages:2317-2335 https://dx.doi.org/10.1007/s00382-019-05115-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 54 2020 3-4 18 01 2317-2335 |
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Enthalten in Climate dynamics 54(2020), 3-4 vom: 18. Jan., Seite 2317-2335 volume:54 year:2020 number:3-4 day:18 month:01 pages:2317-2335 |
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Cook, Edward R. @@aut@@ Solomina, Olga @@aut@@ Matskovsky, Vladimir @@aut@@ Cook, Benjamin I. @@aut@@ Agafonov, Leonid @@aut@@ Berdnikova, Alina @@aut@@ Dolgova, Ekaterina @@aut@@ Karpukhin, Aleksey @@aut@@ Knysh, Natallia @@aut@@ Kulakova, Marina @@aut@@ Kuznetsova, Veronika @@aut@@ Kyncl, Tomáš @@aut@@ Kyncl, Josef @@aut@@ Maximova, Olga @@aut@@ Panyushkina, Irina @@aut@@ Seim, Andrea @@aut@@ Tishin, Denis @@aut@@ Ważny, Tomasz @@aut@@ Yermokhin, Maxim @@aut@@ |
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Cook, Edward R. |
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550 ASE 38.80 bkl The European Russia Drought Atlas (1400–2016 CE) European Russia (dpeaa)DE-He213 East European plain (dpeaa)DE-He213 Drought atlas (dpeaa)DE-He213 Tree-ring network (dpeaa)DE-He213 Droughts and heat waves (dpeaa)DE-He213 |
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The European Russia Drought Atlas (1400–2016 CE) |
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The European Russia Drought Atlas (1400–2016 CE) |
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Cook, Edward R. Solomina, Olga Matskovsky, Vladimir Cook, Benjamin I. Agafonov, Leonid Berdnikova, Alina Dolgova, Ekaterina Karpukhin, Aleksey Knysh, Natallia Kulakova, Marina Kuznetsova, Veronika Kyncl, Tomáš Kyncl, Josef Maximova, Olga Panyushkina, Irina Seim, Andrea Tishin, Denis Ważny, Tomasz Yermokhin, Maxim |
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european russia drought atlas (1400–2016 ce) |
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The European Russia Drought Atlas (1400–2016 CE) |
| abstract |
Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. |
| abstractGer |
Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. |
| abstract_unstemmed |
Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. After Varimax rotation, these modes correlate significantly with independent climate data sets extending back to the late nineteenth century in a physically interpretable way and relate to atmospheric circulation dynamics of droughts and heatwaves over European Russia based on more recent instrumental data. |
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Solomina, Olga Matskovsky, Vladimir Cook, Benjamin I. Agafonov, Leonid Berdnikova, Alina Dolgova, Ekaterina Karpukhin, Aleksey Knysh, Natallia Kulakova, Marina Kuznetsova, Veronika Kyncl, Tomáš Kyncl, Josef Maximova, Olga Panyushkina, Irina Seim, Andrea Tishin, Denis Ważny, Tomasz Yermokhin, Maxim |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR004687884</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220110175112.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00382-019-05115-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR004687884</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00382-019-05115-2-e</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">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cook, Edward R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The European Russia Drought Atlas (1400–2016 CE)</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">Abstract We present the European Russia Drought Atlas (ERDA) that covers the East European Plain to the Ural Mountains from 1400–2016 CE. Like the Old World Drought Atlas (OWDA) for the Euro-Mediterranean region, the ERDA is a one-half degree gridded reconstruction of summer Palmer Drought Severity Indices estimated from a network of annual tree-ring chronologies. Ensemble point-by-point regression is used to generate the ERDA with the identical protocols used for developing the OWDA. Split calibration/validation tests of the ERDA indicate that it has significant skill over most of its domain and is much more skillful than the OWDA where they overlap in the western part of ERDA domain. Comparisons to historical droughts over European Russia additionally support the ERDA’s overall validity. The ERDA has been spatially smoothed and infilled using a local regression method to yield a spatially complete drought atlas back to 1400 CE. EOF analysis indicates that there are three principal modes of hydroclimatic variability in the ERDA. 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