TRMM Latent Heating Retrieval: Applications and Comparisons with Field Campaigns and Large-Scale Analyses

Author:

Tao W.-K.1,Takayabu Y. N.2,Lang S.13,Shige S.4,Olson W.15,Hou A.1,Skofronick-Jackson G.1,Jiang X.67,Zhang C.8,Lau W.9,Krishnamurti T.10,Waliser D.6,Grecu M.111,Ciesielski P. E.12,Johnson R. H.12,Houze R.13,Kakar R.14,Nakamura K.15,Braun S.12,Hagos S.8,Oki R.16,Bhardwaj A.10

Affiliation:

1. Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland

2. Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan

3. Science Systems and Applications Inc., Lanham, Maryland

4. Division of Earth and Planetary Sciences, Kyoto University, Kyoto, Japan

5. UMBC Joint Center for Earth Systems Technology, University of Maryland at Baltimore, Baltimore, Maryland

6. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

7. Joint Institute for Regional Earth System Science and Engineering, University of California, California

8. Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida

9. Earth System Science Interdisciplinary Center, Joint Global Change Research Institute, University of Maryland, College Park, College Park, Maryland

10. Department of Meteorology, Florida State University, Tallahassee, Florida

11. Goddard Earth Sciences Technology and Research, Morgan State University, Baltimore, Maryland

12. Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

13. Department of Atmospheric Science, University of Washington, Seattle, Washington

14. NASA Headquarters, Science Mission Directorate, Washington, D.C.

15. Hydrospheric Atmospheric Research Center, Nagoya University, Nagoya, Japan

16. Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan

Abstract

Abstract Yanai and coauthors utilized the meteorological data collected from a sounding network to present a pioneering work in 1973 on thermodynamic budgets, which are referred to as the apparent heat source (Q1) and apparent moisture sink (Q2). Latent heating (LH) is one of the most dominant terms in Q1. Yanai’s paper motivated the development of satellite-based LH algorithms and provided a theoretical background for imposing large-scale advective forcing into cloud-resolving models (CRMs). These CRM-simulated LH and Q1 data have been used to generate the look-up tables in Tropical Rainfall Measuring Mission (TRMM) LH algorithms. A set of algorithms developed for retrieving LH profiles from TRMM-based rainfall profiles is described and evaluated, including details concerning their intrinsic space–time resolutions. Included in the paper are results from a variety of validation analyses that define the uncertainty of the LH profile estimates. Also, examples of how TRMM-retrieved LH profiles have been used to understand the life cycle of the MJO and improve the predictions of global weather and climate models as well as comparisons with large-scale analyses are provided. Areas for further improvement of the TRMM products are discussed.

Publisher

American Meteorological Society

Subject

Atmospheric Science,Oceanography

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3