Results 31 to 40 of about 341,687 (247)

Bias Correction Method for Log-Power-Normal Distribution

Mathematics, 2022
The log-power-normal distribution is a generalized version of the log-normal distribution. The maximum likelihood estimation method is the most popular method to obtain the estimates of the log-power-normal distribution parameters.
Tzong-Ru Tsai, Yuhlong Lio, Ya-Yen Fan, Che-Pin Cheng   +3 more
doaj   +1 more source

Evaluation of statistical corrective methods to minimize bias at different time scales in a regional climate model driven data

Journal of Agrometeorology, 2015
The regional climate models provide sufficient information of the climate data, which can be used for simulating the impact of expected climate change on crop growth and hydrological processes.
SAMANPREET KAUR, S.K. JALOTA, HARSIMRAN KAUR, B.B. VASHISHT, U.R. JALOTA, P.P.S. LUBANA   +5 more
doaj   +1 more source

Comparison of bias correction methods for climate change projections in the lower Shivaliks of Punjab

Journal of Water and Climate Change, 2023
The study evaluates the performance of bias correction techniques by dividing the observed climate data period into calibration and validation sets. For this purpose, the daily data of temperature, rainfall, and solar radiation from 2010–2095 for lower ...
Kuldeep Kaur, Navneet Kaur
doaj   +1 more source

A bias correction scheme for FY-3E/HIRAS-II observation data assimilation [PDF]

Atmospheric Measurement Techniques
Meteorological satellite data have been extensively utilized in global numerical weather prediction systems and have a positive impact to improve forecast accuracy.
H. Chen, L. Guan
doaj   +1 more source

Climate model bias correction and the role of timescales [PDF]

Hydrology and Earth System Sciences, 2011
It is well known that output from climate models cannot be used to force hydrological simulations without some form of preprocessing to remove the existing biases.
J. O. Haerter, S. Hagemann, C. Moseley, C. Piani   +3 more
doaj   +1 more source

A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services

Hydrology, 2021
We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS ...
Jorge Sanchez Lozano, Giovanni Romero Bustamante, Riley Chad Hales, E. James Nelson, Gustavious P. Williams, Daniel P. Ames, Norman L. Jones   +6 more
doaj   +1 more source

Adjusting Group Intercept and Slope Bias in Predictive Equations

Methodology, 2020
Methods to assess measurement invariance in constructs have received much attention, as invariance is critical for accurate group comparisons. Less attention has been given to the identification and correction of the sources of non-invariance in ...
Bruce W. Austin, Brian F. French
doaj   +1 more source

Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed

Aceh International Journal of Science and Technology, 2019
Many scientists assume that RCM output is directly used as input for climate change impact models, while it consists of systematic errors. Consequently, RCM still requires bias correction to be used as an input model.
Unggul Handoko, Rizaldi Boer, Edvin Aldrian, Arnida L. Latifah, Bambang D. Dasanto, Apip Apip, Misnawati Misnawati   +6 more
doaj   +1 more source

Performance assessment of bias correction methods using observed and regional climate model data in different watersheds, Ethiopia

Journal of Water and Climate Change, 2023
Bias correction methods are used to compensate for any tendency to overestimate or underestimate the downscaled variables. Rainfall, maximum, and minimum temperatures are the key climate variables where the socioeconomic activities of the regions are ...
Habtamu Daniel
doaj   +1 more source

Bias-corrected RCMs

, 2023
We selected the land area over East Asia (100°E–150°E and 20°N–50°N) as the analysis domain, which includes Korea, Japan, China (except for the western arid region), and parts of Mongolia and Russia. The major analysis variables are the daily mean surface temperature (TAS) and daily precipitation (PR).
Changyong Park, Seok-Woo Shin, Cha, Dong-Hyun, Youngeun Choi, Min, Seung-Ki, Yeon-Hee Kim, Chang, Eun-Chul, Myoung-Seok Suh, Joong-Bae Ahn, Byun, Young-Hwa   +9 more
openaire   +2 more sources