Requirements of a global near-surface soil moisture satellite mission: accuracy, repeat time, and spatial resolution

被引:110
|
作者
Walker, JP [1 ]
Houser, PR
机构
[1] Univ Melbourne, Dept Civil & Environm Engn, Parkville, Vic 3010, Australia
[2] NASA, Goddard Space Flight Ctr, Lab Hydrospher Proc, Hydrol Sci Branch, Greenbelt, MD 20771 USA
基金
美国国家航空航天局;
关键词
soil moisture; remote sensing; mission requirements; data assimilation; modelling;
D O I
10.1016/j.advwatres.2004.05.006
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Soil moisture satellite mission accuracy, repeat time and spatial resolution requirements are addressed through a numerical twill data assimilation study. Simulated soil moisture profile retrievals were made by assimilating near-surface soil moisture observations with various accuracy (0, 1 2, 3 4, 5 and 10%v/v standard deviation) repeat time (1, 2, 3, 5, 10, 15, 20 and 30 days), and spatial resolution (0.5, 6, 12 18, 30, 60 and 120 arc-min). This study found that near-surface soil moisture observation error must be less than the model forecast error required for a specific application when used as data assimilation input, else slight model forecast degradation may result. It also found that near-surface soil moisture observations must have all accuracy better than 5%v/v to positively impact soil moisture forecasts, and that daily near-surface soil moisture observations achieved the best soil moisture and evapotranspiration forecasts for the repeat times assessed, with 1-5 day repeat times having the greatest impact. Near-surface soil moisture observations with a spatial resolution finer than the land surface model resolution (similar to30 arc-min) produced the best results, with spatial resolutions coarser than the model resolution yielding only a slight degradation. Observations at half the land surface model spatial resolution were found to be appropriate for our application. Moreover, it was found that satisfying the spatial resolution and accuracy requirements was much more important than repeat time. Published by Elsevier Ltd.
引用
收藏
页码:785 / 801
页数:17
相关论文
共 50 条
  • [1] Temporal and spatial resolution requirements for a soil moisture mission
    Walker, JP
    Houser, PR
    [J]. IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 6 - 8
  • [2] A methodology for initializing soil moisture in a global climate model: Assimilation of near-surface soil moisture observations
    Walker, JP
    Houser, PR
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D11) : 11761 - 11774
  • [3] Analysis of spatial variability of near-surface soil moisture to increase rainfall-runoff modelling accuracy in SW Hungary
    Hegedues, P.
    Czigany, S.
    Pirkhoffer, E.
    Balatonyi, L.
    Hickey, R.
    [J]. OPEN GEOSCIENCES, 2015, 7 (01): : 126 - 139
  • [4] A GCM experiment on time sampling for remote sensing of near-surface soil moisture
    de Rosnay, P
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2003, 4 (02) : 448 - 459
  • [5] Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States
    Baldwin, D.
    Manfreda, S.
    Keller, K.
    Smithwick, E. A. H.
    [J]. JOURNAL OF HYDROLOGY, 2017, 546 : 393 - 404
  • [6] NEAR-SURFACE SOIL MOISTURE MEASUREMENT WITH A NEUTRON PROBE
    BLACK, JDF
    MITCHELL, PD
    [J]. JOURNAL OF THE AUSTRALIAN INSTITUTE OF AGRICULTURAL SCIENCE, 1968, 34 (03): : 181 - &
  • [7] Spatial heterogeneity of the soil moisture content and its impact on surface flux densities and near-surface meteorology
    Ronda, RJ
    van den Hurk, BJJM
    Holtslag, AAM
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2002, 3 (05) : 556 - 570
  • [8] EVALUATING NEAR-SURFACE SOIL-MOISTURE USING HEAT-CAPACITY MAPPING MISSION DATA
    HEILMAN, JL
    MOORE, DG
    [J]. REMOTE SENSING OF ENVIRONMENT, 1982, 12 (02) : 117 - 121
  • [9] A Geostatistical Approach to Map Near-Surface Soil Moisture Through Hyperspatial Resolution Thermal Inertia
    Paruta, Antonio
    Ciraolo, Giuseppe
    Capodici, Fulvio
    Manfreda, Salvatore
    Dal Sasso, Silvano Fortunato
    Zhuang, Ruodan
    Romano, Nunzio
    Nasta, Paolo
    Ben-Dor, Eyal
    Francos, Nicolas
    Zeng, Yijian
    Maltese, Antonino
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (06): : 5352 - 5369
  • [10] Analysis of near-surface soil moisture spatial and temporal dynamics in an experimental catchment in Southern Italy
    Nasta, P.
    Sica, B.
    Chirico, G. B.
    Ferraris, S.
    Romano, N.
    [J]. FOUR DECADES OF PROGRESS IN MONITORING AND MODELING OF PROCESSES IN THE SOIL-PLANT-ATMOSPHERE SYSTEM: APPLICATIONS AND CHALLENGES, 2013, 19 : 188 - 197