Missing data imputation of high‐resolution temporal climate time series data
E Afrifa‐Yamoah, UA Mueller… - Meteorological …, 2020 - Wiley Online Library
Abstract Analysis of high‐resolution data offers greater opportunity to understand the nature
of data variability, behaviours, trends and to detect small changes. Climate studies often …
of data variability, behaviours, trends and to detect small changes. Climate studies often …
MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Q Ni, X Cao - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Time series data is of great value in data mining and analysis, but it often comes with the
problem of data partly missing in many fields. So it is necessary to impute missing values …
problem of data partly missing in many fields. So it is necessary to impute missing values …
Performance of various gridded temperature and precipitation datasets over Northwest Himalayan Region
This study evaluated the performance of 07 gridded datasets viz. Asian Precipitation Highly-
resolved Observational Data Integration towards Evaluation of Water Resources …
resolved Observational Data Integration towards Evaluation of Water Resources …
Assessing impact of dry spells on the principal rainfed crops in major dryland regions of India
The dry spells and rainfall deficit within crop season, play vital role in determining
productivity of rainfed crops. Dry Spell Index (DSI) was formulated to quantify cumulative …
productivity of rainfed crops. Dry Spell Index (DSI) was formulated to quantify cumulative …
Recent wintertime climatic variability over the North West Himalayan cryosphere
This study discusses the observed long-term (1991–2015) and short-term (1991–2000 and
2001–2015) trends in winter temperature and precipitation over Northwestern Himalaya …
2001–2015) trends in winter temperature and precipitation over Northwestern Himalaya …
[HTML][HTML] SCDNA: A serially complete precipitation and temperature dataset for North America from 1979 to 2018
Station-based serially complete datasets (SCDs) of precipitation and temperature
observations are important for hydrometeorological studies. Motivated by the lack of serially …
observations are important for hydrometeorological studies. Motivated by the lack of serially …
[HTML][HTML] SC-earth: a station-based serially complete earth dataset from 1950 to 2019
Meteorological data from ground stations suffer from temporal discontinuities caused by
missing values and short measurement periods. Gap-filling and reconstruction techniques …
missing values and short measurement periods. Gap-filling and reconstruction techniques …
Status of glaciers and climate change of East Karakoram in early twenty-first century
This study aims to assess the glaciers change status in Shyok basin, East Karakoram in
terms of area and mass balance, and to ascertain if glaciers in this part of Karakoram also …
terms of area and mass balance, and to ascertain if glaciers in this part of Karakoram also …
[HTML][HTML] Cross assessment of twenty-one different methods for missing precipitation data estimation
The results of metrological, hydrological, and environmental data analyses are mainly
dependent on the reliable estimation of missing data. In this study, 21 classical methods …
dependent on the reliable estimation of missing data. In this study, 21 classical methods …
Comparative assessment of univariate and multivariate imputation models for varying lengths of missing rainfall data in a humid tropical region: a case study of …
N Kannegowda, S Udayar Pillai, CVNK Kommireddi… - Acta Geophysica, 2024 - Springer
Accurate measurement of meteorological parameters is crucial for weather forecasting and
climate change research. However, missing observations in rainfall data can pose a …
climate change research. However, missing observations in rainfall data can pose a …