A soil moisture and temperature network for SMOS validation in Western Denmark

被引:109
|
作者
Bircher, S. [1 ]
Skou, N. [2 ]
Jensen, K. H. [1 ]
Walker, J. P. [3 ]
Rasmussen, L. [4 ]
机构
[1] Univ Copenhagen, Dept Geog & Geol, Copenhagen, Denmark
[2] Tech Univ Denmark, DTU Space, Lyngby, Denmark
[3] Monash Univ, Dept Civil Engn, Clayton, Vic 3168, Australia
[4] Aarhus Univ, Dept Earth Sci, Aarhus, Denmark
关键词
SGP97 HYDROLOGY EXPERIMENT; TEMPORAL STABILITY; WATER CONTENT; VARIABILITY; SURFACE; RETRIEVAL; SENSOR; MODEL; CALIBRATION; RESOLUTION;
D O I
10.5194/hess-16-1445-2012
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The Soil Moisture and Ocean Salinity Mission (SMOS) acquires surface soil moisture data of global coverage every three days. Product validation for a range of climate and environmental conditions across continents is a crucial step. For this purpose, a soil moisture and soil temperature sensor network was established in the Skjern River Catchment, Denmark. The objectives of this article are to describe a method to implement a network suited for SMOS validation, and to present sample data collected by the network to verify the approach. The design phase included (1) selection of a single SMOS pixel (44 x 44 km), which is representative of the land surface conditions of the catchment and with minimal impact from open water (2) arrangement of three network clusters along the precipitation gradient, and (3) distribution of the stations according to respective fractions of classes representing the prevailing environmental conditions. Overall, measured moisture and temperature patterns could be related to the respective land cover and soil conditions. Texture-dependency of the 0-5 cm soil moisture measurements was demonstrated. Regional differences in 0-5 cm soil moisture, temperature and precipitation between the north-east and south-west were found to be small. A first comparison between the 0-5 cm network averages and the SMOS soil moisture (level 2) product is in range with worldwide validation results, showing comparable trends for SMOS retrieved soil moisture (R-2 of 0.49) as well as initial soil moisture and temperature from ECMWF used in the retrieval algorithm (R-2 of 0.67 and 0.97, respectively). While retrieved/initial SMOS soil moisture indicate significant under-/overestimation of the network data (biases of -0.092/0.057 m(3) m(-3)), the initial temperature is in good agreement (bias of -0.2 degrees C). Based on these findings, the network performs according to expectations and proves to be well-suited for its purpose. The discrepancies between network and SMOS soil moisture will be subject of subsequent studies.
引用
收藏
页码:1445 / 1463
页数:19
相关论文
共 50 条
  • [41] Improving terrestrial evaporation estimates over continental Australia through assimilation of SMOS soil moisture
    Martens, B.
    Miralles, D. G.
    Lievens, H.
    Fernandez-Prieto, D.
    Verhoest, N. E. C.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 48 : 146 - 162
  • [42] Measuring Soil Temperature and Moisture of Arctic Tundra Based on SMOS and ALOS PALSAR data
    Leonidovich, Mironov Valery
    Anna, Shvaleva
    Victorovich, Muzalevskiy Konstantin
    2015 INTERNATIONAL SIBERIAN CONFERENCE ON CONTROL AND COMMUNICATIONS (SIBCON), 2015,
  • [43] Estimating root zone soil moisture using near-surface observations from SMOS
    Ford, T. W.
    Harris, E.
    Quiring, S. M.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2014, 18 (01) : 139 - 154
  • [44] Evaluation of the Soil Moisture Operational Estimates From SMOS in Europe: Results Over Diverse Ecosystems
    Petropoulos, George P.
    Ireland, Gareth
    Srivastava, Prashant K.
    IEEE SENSORS JOURNAL, 2015, 15 (09) : 5243 - 5251
  • [45] Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China
    Wang, Zengyan
    Che, Tao
    Zhao, Tianjie
    Dai, Liyun
    Li, Xiaojun
    Wigneron, Jean-Pierre
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 8955 - 8970
  • [46] Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network
    Jing, Wenlong
    Song, Jia
    Zhao, Xiaodan
    WATER, 2018, 10 (09)
  • [47] Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation
    Kerr, Y. H.
    Al-Yaari, A.
    Rodriguez-Fernandez, N.
    Parrens, M.
    Molero, B.
    Leroux, D.
    Bircher, S.
    Mahmoodi, A.
    Mialon, A.
    Richaume, P.
    Delwart, S.
    Al Bitar, A.
    Pellarin, T.
    Bindlish, R.
    Jackson, T. J.
    Rudiger, C.
    Waldteufel, P.
    Mecklenburg, S.
    Wigneron, J. -P.
    REMOTE SENSING OF ENVIRONMENT, 2016, 180 : 40 - 63
  • [48] Validation of the SMOS Level 1C Brightness Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran
    Jamei, Mozhdeh
    Baygi, Mohammad Mousavi
    Oskouei, Ebrahim Asadi
    Lopez-Baeza, Ernesto
    REMOTE SENSING, 2020, 12 (17) : 1 - 20
  • [49] Validation of SMAP surface soil moisture products with core validation sites
    Colliander, A.
    Jackson, T. J.
    Bindlish, R.
    Chan, S.
    Das, N.
    Kim, S. B.
    Cosh, M. H.
    Dunbar, R. S.
    Dang, L.
    Pashaian, L.
    Asanuma, J.
    Aida, K.
    Berg, A.
    Rowlandson, T.
    Bosch, D.
    Caldwell, T.
    Caylor, K.
    Goodrich, D.
    al Jassar, H.
    Lopez-Baeza, E.
    Martinez-Fernandez, J.
    Gonzalez-Zamora, A.
    Livingston, S.
    McNairn, H.
    Pacheco, A.
    Moghaddam, M.
    Montzka, C.
    Notarnicola, C.
    Niedrist, G.
    Pellarin, T.
    Prueger, J.
    Pulliainen, J.
    Rautiainen, K.
    Ramos, J.
    Seyfried, M.
    Starks, P.
    Su, Z.
    Zeng, Y.
    van der Velde, R.
    Thibeault, M.
    Dorigo, W.
    Vreugdenhil, M.
    Walker, J. P.
    Wu, X.
    Monerris, A.
    O'Neill, P. E.
    Entekhabi, D.
    Njoku, E. G.
    Yueh, S.
    REMOTE SENSING OF ENVIRONMENT, 2017, 191 : 215 - 231
  • [50] Disaggregation of SMOS soil moisture over the Canadian Prairies
    Djamai, Najib
    Magagi, Ramata
    Goita, Kalifa
    Merlin, Olivier
    Kerr, Yann
    Walker, Anne
    REMOTE SENSING OF ENVIRONMENT, 2015, 170 : 255 - 268