Model validation and drought assessment with a regional climate model over Moldova

We assessed drought characteristics in the Republic of Moldova based on the Standardized Precipitation Index (SPI) calculated from monthly precipitation data simulated by the Regional Climate Model RegCM3. The RegCM simulations were conducted at a horizontal resolution of 10 km in the framework of E...

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Veröffentlicht in:Scientia agriculturae Bohemica 2012-12, Vol.43 (4), p.134-144
Hauptverfasser: Potop, V., Ceska Zemedelska Univ., Prague (Czech Republic). Katedra Agroekologie a Biometeorologie, Boroneant, C., University Rovira I Virgili, Tortosa (Spain). Geography Dept, Caian, M., SMHI, Norrkoeping (Sweden). Rossby Centre
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container_issue 4
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container_title Scientia agriculturae Bohemica
container_volume 43
creator Potop, V., Ceska Zemedelska Univ., Prague (Czech Republic). Katedra Agroekologie a Biometeorologie
Boroneant, C., University Rovira I Virgili, Tortosa (Spain). Geography Dept
Caian, M., SMHI, Norrkoeping (Sweden). Rossby Centre
description We assessed drought characteristics in the Republic of Moldova based on the Standardized Precipitation Index (SPI) calculated from monthly precipitation data simulated by the Regional Climate Model RegCM3. The RegCM simulations were conducted at a horizontal resolution of 10 km in the framework of EU-FP6 project Central and Eastern Europe Climate Change Impact and Vulnerability Assessment (CECILIA). The domain was centered over Romania at 46 deg N, 25 deg E and included the Republic of Moldova. We validated the model ability to simulate monthly temperature and precipitation by comparing the model simulations forced by ERA40 with the observations from CRU TS2.0 dataset and station observations for the period 1961-1990. The RegCM simulations (control and scenario runs) forced with the ECHAM5 Global Circulation Model (GCM) have been corrected against the systematic errors induced by the GCM. After the bias correction, the annual cycle of temperature and precipitation is analyzed by comparing the model simulations conducted under A1B scenario for the periods 2021-2050 and 2071-2100 with the control run for the period 1961-1990. The characteristics of the drought for the current climate were assessed based on SPI calculated for 1-24 month lags from CRU dataset and station observations. The SPI for 1, 3, 6, 12, 18, and 24-month lag was calculated and analyzed for RegCM simulations. The results show that the model underestimates the severity of droughts.
doi_str_mv 10.7160/sab.2012.430403
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Katedra Agroekologie a Biometeorologie ; Boroneant, C., University Rovira I Virgili, Tortosa (Spain). Geography Dept ; Caian, M., SMHI, Norrkoeping (Sweden). Rossby Centre</creator><creatorcontrib>Potop, V., Ceska Zemedelska Univ., Prague (Czech Republic). Katedra Agroekologie a Biometeorologie ; Boroneant, C., University Rovira I Virgili, Tortosa (Spain). Geography Dept ; Caian, M., SMHI, Norrkoeping (Sweden). Rossby Centre</creatorcontrib><description>We assessed drought characteristics in the Republic of Moldova based on the Standardized Precipitation Index (SPI) calculated from monthly precipitation data simulated by the Regional Climate Model RegCM3. The RegCM simulations were conducted at a horizontal resolution of 10 km in the framework of EU-FP6 project Central and Eastern Europe Climate Change Impact and Vulnerability Assessment (CECILIA). The domain was centered over Romania at 46 deg N, 25 deg E and included the Republic of Moldova. We validated the model ability to simulate monthly temperature and precipitation by comparing the model simulations forced by ERA40 with the observations from CRU TS2.0 dataset and station observations for the period 1961-1990. The RegCM simulations (control and scenario runs) forced with the ECHAM5 Global Circulation Model (GCM) have been corrected against the systematic errors induced by the GCM. After the bias correction, the annual cycle of temperature and precipitation is analyzed by comparing the model simulations conducted under A1B scenario for the periods 2021-2050 and 2071-2100 with the control run for the period 1961-1990. The characteristics of the drought for the current climate were assessed based on SPI calculated for 1-24 month lags from CRU dataset and station observations. The SPI for 1, 3, 6, 12, 18, and 24-month lag was calculated and analyzed for RegCM simulations. 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Rossby Centre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c132t-93108d0dba0c19d1bd9559f1abdab99752cac991ac26d7288afc19e6bc55b6d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>ACCIDENT CLIMATIQUE</topic><topic>ACCIDENTES ATMOSFERICOS</topic><topic>AIR TEMPERATURE</topic><topic>CLIMATIC DATA</topic><topic>DATOS CLIMATOLOGICOS</topic><topic>DATOS METEOROLOGICOS</topic><topic>DONNEE CLIMATIQUE</topic><topic>DONNEE METEOROLOGIQUE</topic><topic>DROUGHT</topic><topic>DURACION</topic><topic>DURATION</topic><topic>DUREE</topic><topic>ENVIRONMENTAL TEMPERATURE</topic><topic>ESTACIONES METEOROLOGICAS</topic><topic>ETE</topic><topic>http://www.fao.org/aos/agrovoc#c_230</topic><topic>http://www.fao.org/aos/agrovoc#c_2391</topic><topic>http://www.fao.org/aos/agrovoc#c_2412</topic><topic>http://www.fao.org/aos/agrovoc#c_24242</topic><topic>http://www.fao.org/aos/agrovoc#c_2598</topic><topic>http://www.fao.org/aos/agrovoc#c_29553</topic><topic>http://www.fao.org/aos/agrovoc#c_29564</topic><topic>http://www.fao.org/aos/agrovoc#c_29581</topic><topic>http://www.fao.org/aos/agrovoc#c_33245</topic><topic>http://www.fao.org/aos/agrovoc#c_4781</topic><topic>http://www.fao.org/aos/agrovoc#c_6161</topic><topic>http://www.fao.org/aos/agrovoc#c_7519</topic><topic>METEOROLOGICAL STATIONS</topic><topic>MODELE DE SIMULATION</topic><topic>MODELOS DE SIMULACION</topic><topic>PRECIPITACION ATMOSFERICA</topic><topic>PRECIPITATION</topic><topic>REPUBLIC OF MOLDOVA</topic><topic>REPUBLICA DE MOLDOVA</topic><topic>REPUBLIQUE DE MOLDOVA</topic><topic>SECHERESSE</topic><topic>SEQUIA</topic><topic>SIMULATION MODELS</topic><topic>STATION METEOROLOGIQUE</topic><topic>SUMMER</topic><topic>TEMPERATURA AMBIENTAL</topic><topic>TEMPERATURA DEL AIRE</topic><topic>TEMPERATURE AMBIANTE</topic><topic>TEMPERATURE DE L'AIR</topic><topic>VERANO</topic><topic>WEATHER DATA</topic><topic>WEATHER HAZARDS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Potop, V., Ceska Zemedelska Univ., Prague (Czech Republic). 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Rossby Centre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model validation and drought assessment with a regional climate model over Moldova</atitle><jtitle>Scientia agriculturae Bohemica</jtitle><date>2012-12-31</date><risdate>2012</risdate><volume>43</volume><issue>4</issue><spage>134</spage><epage>144</epage><pages>134-144</pages><issn>1211-3174</issn><eissn>1805-9430</eissn><abstract>We assessed drought characteristics in the Republic of Moldova based on the Standardized Precipitation Index (SPI) calculated from monthly precipitation data simulated by the Regional Climate Model RegCM3. The RegCM simulations were conducted at a horizontal resolution of 10 km in the framework of EU-FP6 project Central and Eastern Europe Climate Change Impact and Vulnerability Assessment (CECILIA). The domain was centered over Romania at 46 deg N, 25 deg E and included the Republic of Moldova. We validated the model ability to simulate monthly temperature and precipitation by comparing the model simulations forced by ERA40 with the observations from CRU TS2.0 dataset and station observations for the period 1961-1990. The RegCM simulations (control and scenario runs) forced with the ECHAM5 Global Circulation Model (GCM) have been corrected against the systematic errors induced by the GCM. After the bias correction, the annual cycle of temperature and precipitation is analyzed by comparing the model simulations conducted under A1B scenario for the periods 2021-2050 and 2071-2100 with the control run for the period 1961-1990. The characteristics of the drought for the current climate were assessed based on SPI calculated for 1-24 month lags from CRU dataset and station observations. The SPI for 1, 3, 6, 12, 18, and 24-month lag was calculated and analyzed for RegCM simulations. The results show that the model underestimates the severity of droughts.</abstract><doi>10.7160/sab.2012.430403</doi><tpages>11</tpages></addata></record>
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subjects ACCIDENT CLIMATIQUE
ACCIDENTES ATMOSFERICOS
AIR TEMPERATURE
CLIMATIC DATA
DATOS CLIMATOLOGICOS
DATOS METEOROLOGICOS
DONNEE CLIMATIQUE
DONNEE METEOROLOGIQUE
DROUGHT
DURACION
DURATION
DUREE
ENVIRONMENTAL TEMPERATURE
ESTACIONES METEOROLOGICAS
ETE
http://www.fao.org/aos/agrovoc#c_230
http://www.fao.org/aos/agrovoc#c_2391
http://www.fao.org/aos/agrovoc#c_2412
http://www.fao.org/aos/agrovoc#c_24242
http://www.fao.org/aos/agrovoc#c_2598
http://www.fao.org/aos/agrovoc#c_29553
http://www.fao.org/aos/agrovoc#c_29564
http://www.fao.org/aos/agrovoc#c_29581
http://www.fao.org/aos/agrovoc#c_33245
http://www.fao.org/aos/agrovoc#c_4781
http://www.fao.org/aos/agrovoc#c_6161
http://www.fao.org/aos/agrovoc#c_7519
METEOROLOGICAL STATIONS
MODELE DE SIMULATION
MODELOS DE SIMULACION
PRECIPITACION ATMOSFERICA
PRECIPITATION
REPUBLIC OF MOLDOVA
REPUBLICA DE MOLDOVA
REPUBLIQUE DE MOLDOVA
SECHERESSE
SEQUIA
SIMULATION MODELS
STATION METEOROLOGIQUE
SUMMER
TEMPERATURA AMBIENTAL
TEMPERATURA DEL AIRE
TEMPERATURE AMBIANTE
TEMPERATURE DE L'AIR
VERANO
WEATHER DATA
WEATHER HAZARDS
title Model validation and drought assessment with a regional climate model over Moldova
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