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[528.94:912.43+551.58](478) (1) |
Геодезия. Топографо-геодезиче¬ские работы. Аэрокосмическая съемка и фотограмметрия. Дистанционное зондирование. Картография (112) |
Нетекстовые географические пособия (50) |
Метеорология. Климатология (489) |
![]() JELEAPOV (CHIŞCIUC), Ana, RAWAT, Monica, RĂILEANU, Valentin, NEDEALCOV, Maria, SENA, D.. Geographical informational systems and climate projections in the Republic of Moldova. In: Sisteme Informaționale Geografice, Ed. 22, 24-25 octombrie 2015, Chişinău. Chişinău: Academia de Stiinte a Moldovei, 2015, Ediția 22, pp. 63-67. |
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Sisteme Informaționale Geografice Ediția 22, 2015 |
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Simpozionul "Sisteme Informaționale Geografice Ediția XXII-a - 2015" 22, Chişinău, Moldova, 24-25 octombrie 2015 | ||||||
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CZU: [528.94:912.43+551.58](478) | ||||||
Pag. 63-67 | ||||||
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Presented article contains first attempt to evaluate modification of monthly sums of precipitation in the limits of Moldova under influence of future climate conditions. Initialy, climate projection database from global climate models (GCMs) for four representative concentration pathways (RCPs): 2.6, 4.5, 6.0 and 8.5 have been generated for the territory of the Republic of Moldova using the recent Coupled Model Inter-comparison Project 5 (GMIP5), a coupled Earth System Model HadGEM2-ES. These climate projections are the GCM projections used in the Fifth Assessment IPCC report. The GCM was downscaled and calibrated using the maps for a monthly sum of precipitations generated using the database from climate stations and posts of the State Hydromeorological Service of Moldova for the period 1981-2010. Based on generated maps the monthly sums of precipitation were calculated for two main projected periods 2050 (average of 2040-2060) and 2070 (average of 2060-2080) for all administrative districts of the Republic of Moldova. Analysis of modeled data shows that modifications are characteristic for all months: substantial reduction being for July and August and relative increases being for OctoberMay. The results of climate change projections can be utilized for generating bio-climatic variables and evaluation of future water resources essential to define agricultural scenarios in Moldova as affected by climate change. |
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Cuvinte-cheie CMIP5, HadGEM2-ES, RCPs, Climate Change, DIVA-GIS |
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