arrow
返回

The New England high-resolution temperature program

delete2006-04-01
delete9
delete
OA
AI
D
David J. Stensrud
N
Nusrat Yussouf
M
Michael E. Baldwin
J
Jeffery T. McQueen
J
Jun Du
B
Binbin Zhou
B
Brad S. Ferrier
G
Geoffrey S. Manikin
F
F. Martin Ralph
J
James M. Wilczak
A
Allen B. White
I
Irina Djlalova
J
Jian‐Wen Bao
R
R. J. Zamora
S
Stanley G. Benjamin
P
Patricia A. Miller
T
Tracy Lorraine Smith
T
Tatiana G. Smirnova
M
Michael F. Barth
DOI:10.1175/BAMS-87-4-491delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
The New England High-Resolution Temperature Program seeks to improve the accuracy of summertime 2-m temperature and dewpoint temperature forecasts in the New England region through a collaborative effort between the research and operational components of the National Oceanic and Atmospheric Administration (NOAA). The four main components of this program are 1) improved surface and boundary layer observations for model initialization, 2) special observations for the assessment and improvement of model physical process parameterization schemes, 3) using model forecast ensemble data to improve upon the operational forecasts for near-surface variables, and 4) transfering knowledge gained to commercial weather services and end users. Since 2002 this program has enhanced surface temperature observations by adding 70 new automated Cooperative Observer Program (COOP) sites, identified and collected data from over 1000 non-NOAA mesonet sites, and deployed boundary layer profilers and other special instrumentation throughout the New England region to better observe the surface energy budget. Comparisons of these special datasets with numerical model forecasts indicate that near-surface temperature errors are strongly correlated to errors in the model-predicted radiation fields. The attenuation of solar radiation by aerosols is one potential source of the model radiation bias. However, even with these model errors, results from bias-corrected ensemble forecasts are more accurate than the operational model output statistics (MOS) forecasts for 2-m temperature and dewpoint temperature, while also providing reliable forecast probabilities. Discussions with commerical weather vendors and end users have emphasized the potential economic value of these probabilistic ensemble-generated forecasts.
Keyword:
WEATHER PREDICTION
MESOSCALE
MODEL
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Bulletin of the American Meteorological Society 封面图
Bulletin of the American Meteorological Society
IF:
5.9
论文数:
3.7K
被引数:
2.7W

机构

暂无机构信息
引用论文

引用论文

暂无论文信息