Results 31 to 40 of about 109,140 (374)
Comparison of statistical and dynamical downscaling methods for seasonal-scale winter precipitation predictions over north India [PDF]
, 2019 The main aim of the present study is to analyse the capabilities of two downscaling approaches (statistical and dynamical) in predicting wintertime seasonal precipitation over north India.
Acharya +45 more
core +1 more source
Output Domain Downscaler [PDF]
, 2016 This paper offers an area-efficient video downscaler hardware architecture, which we call Output Domain Downscaler (ODD). ODD is demonstrated through an implementation of the bilinear interpolation method combined with Edge Detection and Sharpening Spatial Filter.
Büyükmıhçı, M. +8 more
openaire +2 more sources
Deep Learning for Daily Precipitation and Temperature Downscaling
Water Resources Research, 2021 Downscaling is a critical step to bridge the gap between large‐scale climate information and local‐scale impact assessment. This study presents a novel deep learning approach: Super Resolution Deep Residual Network (SRDRN) for downscaling daily ...
Fang Wang +4 more
semanticscholar +1 more source
Regional climate projections in two alpine river basins: Upper Danube and Upper Brahmaputra [PDF]
, 2011 Projections from coarse-grid global circulation models are not suitable for regional estimates of water balance or trends of extreme precipitation and temperature, especially not in complex terrain.
Ahrens, Bodo +4 more
core +2 more sources
Global daily 1 km land surface precipitation based on cloud cover-informed downscaling [PDF]
Scientific Data, 2020 High-resolution climatic data are essential to many questions and applications in environmental research and ecology. Here we develop and implement a new semi-mechanistic downscaling approach for daily precipitation estimate that incorporates high ...
D. Karger +4 more
semanticscholar +1 more source
Remote Sensing, 2022 Sea surface wind (SSW) is a crucial parameter for meteorological and oceanographic research, and accurate observation of SSW is valuable for a wide range of applications.
Jia Liu +5 more
doaj +1 more source
Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
Geoscientific Model Development, 2019 . In this paper I present new methods for bias adjustment and statistical downscaling that are tailored to the requirements of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP).
S. Lange
semanticscholar +1 more source
Advances in Meteorology, 2017 Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung
doaj +1 more source
GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Remotely sensed land surface temperature (LST) downscaling is an important issue in remote sensing. Geostatistical methods have shown their applicability in downscaling multi/hyperspectral images.
Q. Wang +4 more
doaj +1 more source
Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe
Climate Services, 2023 Meteorology and weather forecasting are crucial for water-limited agriculture. We evaluate the added value of downscaling seven-months global deterministic seasonal forecasts from the Climate Forecast System version 2 (CFSv2) using the Weather, Research ...
S. Chinyoka, G.J. Steeneveld
doaj +1 more source