Results 61 to 70 of about 379,065 (168)

Effects of Bias-Correcting Climate Model Data on the Projection of Future Changes in High Flows

Hydrology, 2019
Bias-correction methods are commonly applied to climate model data in hydrological climate impact studies. This is due to the often large deviations between simulated and observed climate variables.
Vanessa Wörner, Phillip Kreye, Günter Meon   +2 more
doaj   +1 more source

Data Assimilation to Extract Soil Moisture Information from SMAP Observations

Remote Sensing, 2017
This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations.
Jana Kolassa, Rolf H. Reichle, Qing Liu, Michael Cosh, David D. Bosch, Todd G. Caldwell, Andreas Colliander, Chandra Holifield Collins, Thomas J. Jackson, Stan J. Livingston, Mahta Moghaddam, Patrick J. Starks   +11 more
doaj   +1 more source

Regional climate models and bias correction methods for rainfall-runoff modeling in Katar watershed, Ethiopia

Environmental Systems Research
Systematic errors in regional climate models (RCMs) hinder their implementation and lead to uncertainties in regional hydrological climate change studies.
Babur Tesfaye Yersaw, Mulusew Bezabih Chane   +1 more
doaj   +1 more source

A full wind bivariate bias correction method

Applied Ocean Research
This study proposes a non-parametric bivariate bias correction method for wind direction and speed, capable of correcting the full bivariate distribution of these variables, not just their marginal distributions.
Sebastian Solari, Rodrigo Alonso
doaj   +1 more source

Clock Synchronization Correction of User Receiving Terminals in Satellite Ground Integrated Communication Based on OFDM

天地一体化信息网络
In order to improve the accuracy of clock synchronization correction for the receiving terminal of integrated satellite ground communication users, a clock synchronization correction method for the receiving terminal of integrated satellite ground ...
LUO Ruixue, LI Yu, WANG Xin, MA Chong, SONG Guanglei   +4 more
doaj  

Bootstrap Methods for Correcting Bias in WLS Estimators of the First-Order Bifurcating Autoregressive Model

Stats
In this study, we examine the presence of bias in weighted least squares (WLS) estimation within the context of first-order bifurcating autoregressive (BAR(1)) models.
Tamer Elbayoumi, Mutiyat Usman, Sayed Mostafa, Mohammad Zayed, Ahmad Aboalkhair   +4 more
doaj   +1 more source

A Terrain-Based Bias-Correction Method for Precipitation Data Based on Deep Learning and Spatiotemporal Correlation Modeling

Taiyuan Ligong Daxue xuebao
Purposes How to perform bias-correction for precipitation data based on terrain information has been an important problem in meteorological big data research.
WU Xuefeng, CHEN Yizhi, WANG Changdong, HUANG Dong   +3 more
doaj   +1 more source

Adam Simplified: Bias Correction Debunked

CoRR
The Adam optimizer is a cornerstone of modern deep learning, yet the empirical necessity of each of its individual components is often taken for granted. This paper presents a focused investigation into the role of bias-correction, a feature whose contribution remains poorly understood.
Sam Laing, Antonio Orvieto
openaire   +3 more sources

Adaptive bias correction for improved subseasonal forecasting. [PDF]

Nat Commun, 2023
Mouatadid S, Orenstein P, Flaspohler G, Cohen J, Oprescu M, Fraenkel E, Mackey L.   +6 more
europepmc   +1 more source

Sensitivity analysis of selection bias: a graphical display by bias-correction index. [PDF]

PeerJ, 2023
Chung PC, Lin IF.
europepmc   +1 more source