Analysis of precipitation extremes based on satellite and high-resolution gridded data set over Mediterranean basin

被引:73
作者
Nastos, P. T. [1 ]
Kapsomenakis, J. [2 ]
Douvis, K. C. [2 ]
机构
[1] Univ Athens, Fac Geol & Geoenvironm, Lab Climatol & Atmospher Environm, GR-15784 Athens, Greece
[2] Acad Athens, Res Ctr Atmospher Phys & Climatol, Athens 11251, Greece
关键词
Extreme precipitation indices; TRMM; E-OBS; Mediterranean; GLOBAL PRECIPITATION; CLIMATOLOGY PROJECT; TRMM; RAINFALL; VARIABILITY; VALIDATION; ALGORITHM; FREQUENCY; PRODUCTS; EVENTS;
D O I
10.1016/j.atmosres.2013.04.009
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The objective of this study is to compare and analyze satellite precipitation extremes of Tropical Rainfall Measuring Mission level 3 output (TRMM 3B42) over Mediterranean region against the respective high resolution gridded precipitation datasets (0.25 x 0.25) based on the E-OBS project, for the period 2000-2011. The Tropical Rainfall Measuring Mission (TRMM) is a joint U.S.-Japan satellite mission to monitor tropical and subtropical precipitation and to estimate its associated latent heating. The E-OBS data set (a European daily high-resolution gridded dataset of surface temperature and precipitation) was developed as part of the European Union Framework 6 ENSEMBLES project, with the aim being to use it for validation of Regional Climate Models (RCMs) and for climate change studies. The indices used in the analysis can be divided in three categories: percentile, absolute and duration indices. The percentile indices concern: very wet days (the number of days with daily precipitation amount above the 95th percentile from the examined period) and extremely wet days (the number of days with daily precipitation amount above the 99th percentile from the examined period). The absolute threshold indices concern: number of heavy precipitation days (number of days with daily precipitation amount above 10 mm), number of very heavy precipitation days (number of days with daily precipitation amount above 20 mm) and simple daily intensity index (daily precipitation amount on wet days in a period per number of wet days in the period). The duration indices concern consecutive dry days (the largest number of consecutive days with daily precipitation amount below 1 mm) and consecutive wet days (the largest number of consecutive days with daily precipitation amount above 1 mm). The spatial distribution of the differences between the two datasets along with the spatial distribution of the correlation coefficients are presented and analyzed. Results show considerable regional differences of precipitation indices over the Mediterranean Region. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:46 / 59
页数:14
相关论文
共 50 条
[41]   Assessment of seven CMIP5 model precipitation extremes over Iran based on a satellite-based climate data set [J].
Katiraie-Boroujerdy, Pari-Sima ;
Asanjan, Ata Akbari ;
Chavoshian, Ali ;
Hsu, Kuo-lin ;
Sorooshian, Soroosh .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (08) :3505-3522
[42]   Multi time-scale evaluation of high-resolution satellite-based precipitation products over northeast of Austria [J].
Sharifi, Ehsan ;
Steinacker, Reinhold ;
Saghafian, Bahram .
ATMOSPHERIC RESEARCH, 2018, 206 :46-63
[43]   Development of a High-Resolution Gridded Daily Meteorological Dataset over Sub-Saharan Africa: Spatial Analysis of Trends in Climate Extremes [J].
Chaney, Nathaniel W. ;
Sheffield, Justin ;
Villarini, Gabriele ;
Wood, Eric F. .
JOURNAL OF CLIMATE, 2014, 27 (15) :5815-5835
[44]   Performance Analysis of IMD High-Resolution Gridded Rainfall (0.25° x 0.25°) and Satellite Estimates for Detecting Cloudburst Events over the Northwest Himalayas [J].
Jena, Pravat ;
Garg, Sourabh ;
Azad, Sarita .
JOURNAL OF HYDROMETEOROLOGY, 2020, 21 (07) :1549-1569
[45]   Representing Extremes in a Daily Gridded Precipitation Analysis over the United States: Impacts of Station Density, Resolution, and Gridding Methods [J].
Gervais, Melissa ;
Tremblay, L. Bruno ;
Gyakum, John R. ;
Atallah, Eyad .
JOURNAL OF CLIMATE, 2014, 27 (14) :5201-5218
[46]   Analysis on the temporal scaling behavior of extreme rainfall in Korean Peninsula based on high-resolution radar-based precipitation data [J].
Kim, Soohyun ;
Kim, Yongchan ;
Ghorbani, Mohammad Ali ;
Kim, Dongkyun .
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 55
[47]   Development and analysis of a 50-year high-resolution daily gridded precipitation dataset over Spain (Spain02) [J].
Herrera, S. ;
Gutierrez, J. M. ;
Ancell, R. ;
Pons, M. R. ;
Frias, M. D. ;
Fernandez, J. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2012, 32 (01) :74-85
[48]   Development of high resolution daily gridded precipitation and temperature dataset for potohar plateau of indus basin [J].
Khan, Muhammad Wasif ;
Ahmad, Shakil ;
Dahri, Zakir Hussain ;
Syed, Zain ;
Ahmad, Khalil ;
Khan, Firdos ;
Azmat, Muhammad .
THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 154 (3-4) :1179-1201
[49]   A conceptual model for constructing high-resolution gauge-satellite merged precipitation analyses [J].
Xie, Pingping ;
Xiong, An-Yuan .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116
[50]   PROJECTED CHANGES IN FLOOD-GENERATING PRECIPITATION EXTREMES OVER THE CZECH REPUBLIC IN HIGH-RESOLUTION REGIONAL CLIMATE MODELS [J].
Kysely, Jan ;
Gaal, Ladislav ;
Beranova, Romana .
JOURNAL OF HYDROLOGY AND HYDROMECHANICS, 2011, 59 (04) :217-227