Zobrazeno 1 - 10
of 484
pro vyhledávání: '"quantile mapping"'
Autor:
Priscila Tavares, Isabel Lopes Pilotto, Sin Chan Chou, Saulo Aires Souza, Leila Maria Garcia Fonseca, Diego José Chagas
Publikováno v:
Derbyana, Vol 45 (2024)
Accurate and detailed datasets are crucial for assessing climate change impacts. Regional climate models provide high-resolution simulations and are key tools but often exhibit systematic biases. Therefore, this paper presents a dataset derived from
Externí odkaz:
https://doaj.org/article/85169ef3763c4e4f9809dd066fce2f67
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 3 (2024)
Rainfall is a climate element with high variations in space and time scales, so it is not easy to predict. One way to predict rainfall is statistical downscaling (SD). SD can predict local rainfall based on Global Circulation Model (GCM) data. The De
Externí odkaz:
https://doaj.org/article/82e7d6273bbd455f83a7ec04cf9236d9
Autor:
Leila Rahimi, Mushfiqul Hoque, Ebrahim Ahmadisharaf, Nasrin Alamdari, Vasubandhu Misra, Ana Carolina Maran, Shih‐Chieh Kao, Amir AghaKouchak, Rocky Talchabhadel
Publikováno v:
Earth's Future, Vol 12, Iss 8, Pp n/a-n/a (2024)
Abstract Projecting future climate variables is essential for comprehending the potential impacts on hydroclimatic hazards like floods and droughts. Evaluating these impacts is challenging due to the coarse spatial resolution of global climate models
Externí odkaz:
https://doaj.org/article/89e53a8803774db6b51e2bf414282361
Assessing the impact of bias correction approaches on climate extremes and the climate change signal
Publikováno v:
Meteorological Applications, Vol 31, Iss 3, Pp n/a-n/a (2024)
Abstract We assess the impact of three bias correction approaches on present day means and extremes, and climate change signal, for six climate variables (precipitation, minimum and maximum temperature, radiation, vapour pressure and mean sea level p
Externí odkaz:
https://doaj.org/article/ad2b2336434f42dc9565b6f3cf3bb957
Autor:
Philipp Reiter, Markus C. Casper
Publikováno v:
Hydrology, Vol 11, Iss 9, p 143 (2024)
Bias in regional climate model (RCM) data makes bias correction (BC) a necessary pre-processing step in climate change impact studies. Among a variety of different BC methods, quantile mapping (QM) is a popular and powerful BC method. Studies have sh
Externí odkaz:
https://doaj.org/article/bc4f136edd384fa58aef56a7e310cf34
Autor:
Lorenza Ceferino-Hernández, Francisco Magaña-Hernández, Enrique Campos-Campos, Gabriela Adina Morosanu, Carlos E. Torres-Aguilar, René Sebastián Mora-Ortiz, Sergio A. Díaz
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2596 (2024)
Precipitation is a fundamental component of the Earth’s hydrological cycle. Therefore, monitoring precipitation is paramount, as accurate information is needed to prevent natural hydrological disasters, such as floods and droughts. However, measuri
Externí odkaz:
https://doaj.org/article/b9be3d28d293495ca27ff744748f6a8e
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 6, Pp 1847-1867 (2023)
A promising future development area to improve the accuracy of satellite rainfall estimates (SREs) is accessing merits from different sources of data through combining algorithms. The main objective of this study is to assess the accuracy and importa
Externí odkaz:
https://doaj.org/article/59c6ae1de4ad4d168fd974c175ca4205
Autor:
Jorge Guevara, Maria Garcia, Priscilla Avegliano, Debora Lima, Dilermando Queiroz, Maysa Macedo, Leonardo Tizzei, Daniela Szwarcman, Bianca Zadrozny, Campbell Watson, Anne Jones
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 11, Pp n/a-n/a (2023)
Abstract Resampling‐based weather generators simulate new time series of weather variables by reordering the observed values such that the statistics of the simulated data are consistent with the observed ones. These generators are fully data‐dri
Externí odkaz:
https://doaj.org/article/afcc9709b07f469c94951c5df36a0b8b
Autor:
Santiago Mendoza Paz, Patrick Willems
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101477- (2023)
Study region: Belgium Study focus: We assessed statistical downscaling (21 methods) skill and assumptions for seven extreme rainfall indicators in three Belgian areas. The ensemble consists of (i) perturbation methods with four members, (ii) quantile
Externí odkaz:
https://doaj.org/article/29372184f5bf4ee88852690c1824876a
Publikováno v:
Water Practice and Technology, Vol 17, Iss 9, Pp 1923-1936 (2022)
The central India region has been seriously affected by repeated droughts in recent decades due to climate change, which is the main reason for conducting this research. It is still uncertain how the numerous climate models could precisely estimate t
Externí odkaz:
https://doaj.org/article/e5931395569b4847b19d7c9674bab1da