Reconstructing High Resolution ESM Data Through a Novel Fast Super Resolution Convolutional Neural Network (FSRCNN)

Super-resolution reconstruction of infrared images based on a convolutional neural network with skip connections

(2021) Yan Zou et al.   OPTICS AND LASERS IN ENGINEERING

Semi-supervised student-teacher learning for single image super-resolution

(2021) Lin Wang et al.   PATTERN RECOGNITION

Adversarial super-resolution of climatological wind and solar data

(2020) Karen Stengel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep learning

(2015) Yann LeCun et al.   NATURE

The effect of horizontal resolution on simulation quality in the Community Atmospheric Model, CAM5.1

(2014) Michael F. Wehner et al.   Journal of Advances in Modeling Earth Systems

The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data

(2013) Luca Cinquini et al.   Future Generation Computer Systems-The International Journal of eScience

Framing the way to relate climate extremes to climate change

(2012) Kevin E. Trenberth   CLIMATIC CHANGE

SVM-PGSL coupled approach for statistical downscaling to predict rainfall from GCM output

(2011) Subimal Ghosh   JOURNAL OF GEOPHYSICAL RESEARCH

Statistical Downscaling of Monthly Precipitation Using NCEP/NCAR Reanalysis Data for Tahtali River Basin in Turkey

(2010) Okan Fistikoglu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

The real holes in climate science

(2010) Quirin Schiermeier   NATURE

Sea-Level Rise and Its Impact on Coastal Zones

(2010) R. J. Nicholls et al.   SCIENCE

The effect of horizontal resolution on simulation of very extreme US precipitation events in a global atmosphere model

(2009) Michael F. Wehner et al.   CLIMATE DYNAMICS