Dynamical downscaling of regional climate: A review of methods and limitations
The traditional dynamical downscaling (TDD) method employs continuous integration of
regional climate models (RCM) with the general circulation model (GCM) providing the initial …
regional climate models (RCM) with the general circulation model (GCM) providing the initial …
A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability
Regional climate models (RCMs) have been developed and extensively applied for
dynamically downscaling coarse resolution information from different sources, such as …
dynamically downscaling coarse resolution information from different sources, such as …
Regional climate change projections for the Northeast USA
Climate projections at relevant temporal and spatial scales are essential to assess potential
future climate change impacts on climatologically diverse regions such as the northeast …
future climate change impacts on climatologically diverse regions such as the northeast …
The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI
LM Montandon, EE Small - Remote Sensing of Environment, 2008 - Elsevier
The green vegetation fraction (Fg) is an important climate and hydrologic model parameter.
A common method to calculate Fg is to create a simple linear mixing model between two …
A common method to calculate Fg is to create a simple linear mixing model between two …
Evaluation of a WRF dynamical downscaling simulation over California
P Caldwell, HNS Chin, DC Bader, G Bala - Climatic change, 2009 - Springer
This paper presents results from a 40 year Weather Research and Forecasting (WRF) based
dynamical downscaling experiment performed at 12 km horizontal grid spacing, centered on …
dynamical downscaling experiment performed at 12 km horizontal grid spacing, centered on …
Climate change impact on meteorological, agricultural, and hydrological drought in central Illinois
This paper investigates the impact of climate change on drought by addressing two
questions:(1) How reliable is the assessment of climate change impact on drought based on …
questions:(1) How reliable is the assessment of climate change impact on drought based on …
Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods
L Sun, Y Lan - International Journal of Climatology, 2021 - Wiley Online Library
Convolutional neural network (CNN) is an effective tool for extracting interpretable
information from big data and has been recently used as a promising approach for statistical …
information from big data and has been recently used as a promising approach for statistical …
[HTML][HTML] Climate and climate change over North America as simulated by the Canadian RCM
DA Plummer, D Caya, A Frigon, H Côté… - Journal of …, 2006 - journals.ametsoc.org
An analysis of several multidecadal simulations of the present (1971–90) and future (2041–
60) climate from the Canadian Regional Climate Model (CRCM) is presented. The effects on …
60) climate from the Canadian Regional Climate Model (CRCM) is presented. The effects on …
Analysis of future drought characteristics in China using the regional climate model CCLM
J Huang, J Zhai, T Jiang, Y Wang, X Li, R Wang… - Climate Dynamics, 2018 - Springer
In this paper, the intensity, area and duration of future droughts in China are analyzed using
the Standardized Precipitation Index (SPI) and the Standardized Precipitation …
the Standardized Precipitation Index (SPI) and the Standardized Precipitation …
[HTML][HTML] Regional climate–weather research and forecasting model
Regional Climate–Weather Research and Forecasting Model in: Bulletin of the American
Meteorological Society Volume 93 Issue 9 (2012) Jump to Content Jump to Main Navigation …
Meteorological Society Volume 93 Issue 9 (2012) Jump to Content Jump to Main Navigation …