Advanced Search
Article Contents

Comparison of TRMM and Water District Rain Rates over New Mexico


doi: 10.1007/s00376-006-0001-x

  • This paper compares monthly and seasonal rain rates derived from the Version 5 (V5) and Version 6 (V6) TRMM Precipitation Radar (TPR, TSDIS reference 2A25), TRMM Microwave Imager (TMI, 2A12), TRMM Combined Instrument (TCI, 2B31), TRMM calibrated IR rain estimates (3B42) and TRMM merged gauge and satellite analysis (3B43) algorithms over New Mexico (NM) with rain gauge analyses provided by the New Mexico water districts (WD). The average rain rates over the NM region for 1998–2002 are 0.91mmd?1 for WD and 0.75, 1.38, 1.49, 1.27, and 1.07mmd?1 for V5 3B43, 3B42, TMI, PR and TCA; and 0.74, 1.38, 0.87 and 0.97 mm d?1 for V6 3B43, TMI, TPR and TCA, respectively. Comparison of V5 3B43 with WD rain rates and the daily TRMM mission index (TPR and TMI) suggests that the low bias of V5 3B43 for the wet months (summer to early fall) may be due to the non-inclusion of some rain events in the operational gauge analyses that are used in the production of V5 3B43. Correlation analyses show that the WD rain rates vary in phase, with higher correlation between neighboring WDs. High temporal correlations (>0.8) exist between WD and the combined algorithms (3B42, 3B43 and TCA for both V5 and V6) while satellite instrument algorithms (PR, TMI and TCI) are correlated best among themselves at the monthly scale. Paired t-tests of the monthly time series show that V5 3B42 and TMI are statistically different from the WD rain rates while no significant difference exists between WD and the other products. The agreements between the TRMM satellite and WD gauge estimates are best for the spring and fall and worst for winter and summer. The reduction in V6 TMI (?7.4%) and TPR (?31%) rain rates (compared to V5) results in better agreement between WD estimates and TMI in winter and TPR during summer.
  • [1] Shuang LUO, Yunfei FU, Shengnan ZHOU, Xiaofeng WANG, Dongyong WANG, 2020: Analysis of the Relationship between the Cloud Water Path and Precipitation Intensity of Mature Typhoons in the Northwest Pacific Ocean, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 359-376.  doi: 10.1007/s00376-020-9204-9
    [2] Hongke CAI, Yaqin MAO, Xuanhao ZHU, Yunfei FU, Renjun ZHOU, 2024: Comparison of the Minimum Bounding Rectangle and Minimum Circumscribed Ellipse of Rain Cells from TRMM, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 391-406.  doi: 10.1007/s00376-023-2281-9
    [3] HU Liang, LI Yaodong, DENG Difei, 2013: An Investigation into the Relationship between Surface Rain Rate and Rain Depth over Southeast Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 142-152.  doi: 10.1007/s00376-012-2097-5
    [4] T. N. KRISHNAMURTI, A. D. SAGADEVAN, A. CHAKRABORTY, A. K. MISHRA, A. SIMON, 2009: Improving Multimodel Weather Forecast of Monsoon Rain Over China Using FSU Superensemble, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 813-839.  doi: 10.1007/s00376-009-8162-z
    [5] LI Xiangshu, GUO Xueliang, FU Danhong, 2013: TRMM-retrieved Cloud Structure and Evolution of MCSs over the Northern South China Sea and Impacts of CAPE and Vertical Wind Shear, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 77-88.  doi: 10.1007/s00376-012-2055-2
    [6] CHEN Haoming, YUAN Weihua, LI Jian, YU Rucong, 2012: A Possible Cause for Different Diurnal Variations of Warm Season Rainfall as Shown in Station Observations and TRMM 3B42 Data over the Southeastern Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 193-200.  doi: 10.1007/s00376-011-0218-1
    [7] YANG Jing, YANG Meirong, LIU Chao, FENG Guili, 2013: Case Studies of Sprite-producing and Non-sprite-producing Summer Thunderstorms, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1786-1808.  doi: 10.1007/s00376-013-2120-5
    [8] MA Leiming, DUAN Yihong, ZHU Yongti, 2004: The Structure and Rainfall Features of Tropical Cyclone Rammasun (2002), ADVANCES IN ATMOSPHERIC SCIENCES, 21, 951-963.  doi: 10.1007/BF02915597
    [9] LI Rui, FU Yunfei, 2005: Tropical Precipitation Estimated by GPCP and TRMM PR Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 852-864.  doi: 10.1007/BF02918685
    [10] Yilun CHEN, Aoqi ZHANG, Yunfei FU, Shumin CHEN, Weibiao LI, 2021: Morphological Characteristics of Precipitation Areas over the Tibetan Plateau Measured by TRMM PR, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 677-689.  doi: 10.1007/s00376-020-0233-1
    [11] YANG Kun, Toshio KOIKE, 2008: Satellite Monitoring of the Surface Water and Energy Budget in the Central Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 974-985.  doi: 10.1007/s00376-008-0974-8
    [12] Yunfei Fu, Yang Liu, Peng Zhang, Songyan Gu, Lin Chen, Sun Nan, 2024: A New Algorithm of Rain Type Classification for GPM Dual-Frequency Precipitation Radar in Summer Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3384-7
    [13] FU Yunfei, LIN Yihua, Guosheng LIU, WANG Qiang, 2003: Seasonal Characteristics of Precipitation in 1998 over East Asia as Derived from TRMM PR, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 511-529.  doi: 10.1007/BF02915495
    [14] Xiao PAN, Yunfei FU, Sen YANG, Ying GONG, Deqin LI, 2021: Diurnal Variations of Precipitation over the Steep Slopes of the Himalayas Observed by TRMM PR and VIRS, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 641-660.  doi: 10.1007/s00376-020-0246-9
    [15] B. J. SOHN, 2024: Water Vapor Information from Satellite and Its Applications, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 188-189.  doi: 10.1007/s00376-023-3008-7
    [16] SUN Li, SHEN Baizhu, SUI Bo, 2010: A Study on Water Vapor Transport and Budget of Heavy Rain in Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1399-1414.  doi: 10.1007/s00376-010-9087-2
    [17] LI Hongqi, GUO Weidong, SUN Guodong, ZHANG Yaocun, FU Congbin, 2011: A New Approach for Parameter Optimization in Land Surface Model, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1056-1066.  doi: 10.1007/s00376-010-0050-z
    [18] Jiang Hao, Wang Keli, 2001: Analysis of the Surface Temperature on the Tibetan Plateau from Satellite, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 1215-1223.  doi: 10.1007/s00376-001-0035-z
    [19] Min Luo, Yuzhi Liu, Jie Gao, Run Luo, Jinxia Zhang, Ziyuan Tan, Siyu Chen, Khan Alam, 2024: A New Merged Product Revealed Precipitation Features over Drylands in China, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3159-1
    [20] Feng ZHANG, Yadong LEI, Jia-Ren YAN, Jian-Qi ZHAO, Jiangnan LI, Qiudan DAI, 2017: A New Parameterization of Canopy Radiative Transfer for Land Surface Radiation Models, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 613-622.  doi: 10.1007/s00376-016-6139-2

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 January 2006
Manuscript revised: 10 January 2006
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Comparison of TRMM and Water District Rain Rates over New Mexico

  • 1. NASA/Goddard Space Flight Center, Distributed Active Archive Center, Greenbelt, Maryland 20771, USA, Center for Earth Observing and Space Research, School of Computational Sciences,George Mason University, Fairfax, Virginia 22030-4444, USA,NASA/Goddard Space Flight Center, Distributed Active Archive Center, Greenbelt, Maryland 20771, USA, Center for Earth Observing and Space Research, School of Computational Sciences,George Mason University, Fairfax, Virginia 22030-4444, USA,Center for Earth Observing and Space Research, School of Computational Sciences,George Mason University, Fairfax, Virginia 22030-4444, USA, Thai Royal Military Academy, Bangkok, Thailand,Earth Data Analysis Center, University of New Mexico, Albuquerque, New Mexico 87131, USA,Earth Data Analysis Center, University of New Mexico, Albuquerque, New Mexico 87131, USA,Earth Data Analysis Center, University of New Mexico, Albuquerque, New Mexico 87131, USA,Earth Data Analysis Center, University of New Mexico, Albuquerque, New Mexico 87131, USA

Abstract: This paper compares monthly and seasonal rain rates derived from the Version 5 (V5) and Version 6 (V6) TRMM Precipitation Radar (TPR, TSDIS reference 2A25), TRMM Microwave Imager (TMI, 2A12), TRMM Combined Instrument (TCI, 2B31), TRMM calibrated IR rain estimates (3B42) and TRMM merged gauge and satellite analysis (3B43) algorithms over New Mexico (NM) with rain gauge analyses provided by the New Mexico water districts (WD). The average rain rates over the NM region for 1998–2002 are 0.91mmd?1 for WD and 0.75, 1.38, 1.49, 1.27, and 1.07mmd?1 for V5 3B43, 3B42, TMI, PR and TCA; and 0.74, 1.38, 0.87 and 0.97 mm d?1 for V6 3B43, TMI, TPR and TCA, respectively. Comparison of V5 3B43 with WD rain rates and the daily TRMM mission index (TPR and TMI) suggests that the low bias of V5 3B43 for the wet months (summer to early fall) may be due to the non-inclusion of some rain events in the operational gauge analyses that are used in the production of V5 3B43. Correlation analyses show that the WD rain rates vary in phase, with higher correlation between neighboring WDs. High temporal correlations (>0.8) exist between WD and the combined algorithms (3B42, 3B43 and TCA for both V5 and V6) while satellite instrument algorithms (PR, TMI and TCI) are correlated best among themselves at the monthly scale. Paired t-tests of the monthly time series show that V5 3B42 and TMI are statistically different from the WD rain rates while no significant difference exists between WD and the other products. The agreements between the TRMM satellite and WD gauge estimates are best for the spring and fall and worst for winter and summer. The reduction in V6 TMI (?7.4%) and TPR (?31%) rain rates (compared to V5) results in better agreement between WD estimates and TMI in winter and TPR during summer.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return