Introduction

The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting needs. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. The effort to develop WRF began in the latter part of the 1990's and was a collaborative partnership principally among the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction (NCEP) and the (then) Forecast Systems Laboratory (FSL)), the Air Force Weather Agency (AFWA), the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA).

WRF can generate atmospheric simulations using real data (observations, analyses) or idealized conditions. WRF offers operational forecasting a flexible and computationally-efficient platform, while providing recent advances in physics, numerics, and data assimilation contributed by developers across the very broad research community. WRF is currently in operational use at NCEP, AFWA, and other centers.

SRF模型的主要输入数据之一即为土壤质地数据，该数据的含义如表一所示，中文名称选自潘小多等2012。

Table. 1

Matlab操作实现中国WRF土壤质地数据的空间分布，输出设定为GeoTIFF格式，如Fig. 1所示。

Fig. 1

中国WRF土壤质地数据由潘小多老师提供，在此向潘老师致以特别的感谢！

How to Cite This Data

Use is free to all if acknowledgement is made.

潘小多, 李新, 冉有华, 刘超 (2012) 下垫面对 WRF 模式模拟黑河流域区域气候精度影响研究. 高原气象, 31, 657-667.

Pan X, Li X, ShiX, Han X, Luo L, Wang L (2012) Dynamic downscaling of near-surface air temperature at the basin scale using WRF-a case study in the Heihe River Basin, China. Frontiers of Earth Science, 6, 314-323.

WRF.rar.