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Title: CONSISTENCY OF TEMPERATURE AND PRECIPITATION EXTREMES ACROSS INTERNATIONAL AND NATIONAL GRIDDED IN EXTRA-CARPATHIAN REGION OF ROMANIA
CONSISTENCY OF TEMPERATURE AND PRECIPITATION EXTREMES ACROSS INTERNATIONAL AND NATIONAL GRIDDED IN EXTRA-CARPATHIAN REGION OF ROMANIA

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C. NECHITA
10.5593/sgem2019/3.2/S14.086
1314-2704
978-619-7408-82-9
English
19
3.2
Forest Ecosystems
Nowadays, various climate data sources offer free-access information regarding interpolated climatological data, used in forest research studies (dendroecology and dendroclimatology). The most utilised are the international data grids, for reasons of length of time series and offboard coverage. Changes in the climate extremes from the last decades are frequently monitored using global climate gridded datasets (we used CRU-TS and E-OBS). Our study evaluates their accuracy relative to the national data grid (ROCADA) in the extra-Carpathian region of Romania. Analysis was performed on monthly (for all three datasets) and daily data (only for E-OBS and ROCADA), for both temporal and spatial pattern of mean temperature (Tmean), minimum temperature (Tmin), maximum temperature (Tmax) and mean precipitation (Pmean). Four ETCCDI climate change extreme indices were used to evaluate daily data (daily minimum temperature per day / year (TNij < 0°C), daily maximum temperature (TXij > 25°C), annual number of days with TX < 0°C, annual number of days with precipitation ? 10mm (R10mm). Analysis was performed for the common data period (1961-2013). Results showed that the values of annual extremes of daily data differ consistently in some years across the different databases. The interpretation of disagreement between data sets is partially related to different interpolation methods and number of meteorological data stations which are used by each grid. The most representative difference was found for the precipitation climate product. However, a reasonable agreement between datasets is preserved, and only aspects regarding underestimating/overestimating the extreme climate indices were noted. We consider this an essential investigation for a further potential application involving evaluation climate extreme through different proxy. Moreover, the different assets such as resolution in time and space or number of climate products included conferee a high importance of each datasets.
conference
https://www.sgem.org/index.php/jresearch-article?citekey=NECHITA201914665672
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
665-672
30 June - 6 July, 2019
website
cdrom
5779
climate extreme; E-OBS; CRU; ROCADA; difference in climate datasets