A Censored Shifted Mixture Distribution Mapping Method to Correct the Bias of Daily IMERG Satellite Precipitation Estimates

Remote Sensing - Switzerland
doi 10.3390/rs11111345
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Bias Correction of Daily Satellite-Based Rainfall Estimates for Hydrologic Forecasting in the Upper Zambezi, Africa

Hydrology and Earth System Sciences Discussions
EarthEarth-Surface ProcessesPlanetary Sciences
2016English

Validation of Satellite Daily Rainfall Estimates Over Indonesia

Forum Geografi
2018English

Fitting Daily Precipitation Amounts Using the SB Distribution

Monthly Weather Review
Atmospheric Science
1981English

Evaluation of Precipitation Estimates Over CONUS Derived From Satellite, Radar, and Rain Gauge Data Sets at Daily to Annual Scales (2002–2012)

Hydrology and Earth System Sciences
EarthWater SciencePlanetary SciencesTechnology
2015English

Scaled Distribution Mapping: A Bias Correction Method That Preserves Raw Climate Model Projected Changes

2017English

Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change

Water (Switzerland)
DevelopmentBiochemistryPlanningAquatic ScienceWater ScienceTechnologyGeography
2019English

Monthly and Annual Precipitation and Maximum Daily Precipitation Distribution at the Formoso River Basin, Tocantins

Ambiência
2016English

A Method to Determine the Maximum Side Perspective of Satellite With the Constraints of Mapping Accuracy

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2015English

AIMERG: A New Asian Precipitation Dataset (0.1°/Half-Hourly, 2000–2015) by Calibrating GPM IMERG at Daily Scale Using APHRODITE

2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy