POLARIS Soil Properties: 30-m Probabilistic Maps of Soil Properties Over the Contiguous United States

被引:100
|
作者
Chaney, Nathaniel W. [1 ]
Minasny, Budiman [2 ]
Herman, Jonathan D. [3 ]
Nauman, Travis W. [4 ]
Brungard, Colby W. [5 ]
Morgan, Cristine L. S. [6 ]
McBratney, Alexander B. [2 ]
Wood, Eric F. [7 ]
Yimam, Yohannes [8 ]
机构
[1] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27706 USA
[2] Univ Sydney, Fac Agr & Environm, Dept Environm Sci, Sydney, NSW, Australia
[3] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
[4] US Geol Survey, Southwest Biol Sci Ctr, Moab, UT USA
[5] New Mexico State Univ, Dept Plant & Environm Sci, Las Cruces, NM 88003 USA
[6] Texas A&M Univ, Dept Soil & Crop Sci, College Stn, TX 77843 USA
[7] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
[8] Format Environm LLC, Sacramento, CA USA
关键词
GLOBAL DATASET; MODEL; WATER; UNCERTAINTY; ENERGY; FLUXES; FLOW;
D O I
10.1029/2018WR022797
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soils play a critical role in the cycling of water, energy, and carbon in the Earth system. Until recently, due primarily to a lack of soil property maps of a sufficiently high-quality and spatial detail, a minor emphasis has been placed on providing high-resolution measured soil parameter estimates for land surface models and hydrologic models. This study introduces Probabilistic Remapping of SSURGO (POLARIS) soil properties-a database of 30-m probabilistic soil property maps over the contiguous United States (CONUS). The mapped variables over CONUS include soil texture, organic matter, pH, saturated hydraulic conductivity, Brooks-Corey and Van Genuchten water retention curve parameters, bulk density, and saturated water content. POLARIS soil properties was assembled by (1) depth harmonizing and aggregating the pedons in the National Cooperative Soil Survey Soil Characterization Database and the components in Soil Survey Geographic Database into a database of 21,481 different soil series, each soil series having its own vertical profiles of different soil properties, (2) pruning the original POLARIS soil series maps using conventional soil maps to improve soil series prediction accuracy, and (3) merging the assembled soil series databases with the pruned POLARIS soil series maps to construct the soil property maps over CONUS. POLARIS soil properties includes 100-bin histograms for each layer and variable per grid cell and a series of summary statistics at 30-, 300-, and 3,000-m spatial resolution. Evaluation of POLARIS soil properties using in situ measurements shows an average R-2 of 0.41, normalized root-mean-square error of 12%, and a normalized mean absolute error of 8.8%.
引用
收藏
页码:2916 / 2938
页数:23
相关论文
共 50 条
  • [1] POLARIS: A 30-meter probabilistic soil series map of the contiguous United States
    Chaney, Nathaniel W.
    Wood, Eric F.
    McBratney, Alexander B.
    Hempel, Jonathan W.
    Nauman, Travis W.
    Brungard, Colby W.
    Odgers, Nathan P.
    GEODERMA, 2016, 274 : 54 - 67
  • [2] Soil Maps of the United States of America
    Brevik, Eric C.
    Hartemink, Alfred E.
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2013, 77 (04) : 1117 - 1132
  • [3] A daily soil temperature dataset and soil temperature climatology of the contiguous United States
    Hu, Q
    Feng, S
    JOURNAL OF APPLIED METEOROLOGY, 2003, 42 (08): : 1139 - 1156
  • [4] THE TOPOGRAPHIC AND SOIL MAPS OF THE UNITED-STATES
    SALISHCHEV, KA
    SOVIET GEOGRAPHY REVIEW AND TRANSLATION, 1962, 3 (04): : 65 - 71
  • [5] Soil hydraulic property maps for the contiguous United States at 100-m resolution and seven depths: Code design and preliminary results
    Schaap, Marcel G.
    Zhang, Yonggen
    Rasmussen, Craig
    VADOSE ZONE JOURNAL, 2024, 23 (06)
  • [6] GENERAL SOIL MAPS OF THE UNITED-STATES
    GENNADIYEV, AN
    SOVIET SOIL SCIENCE, 1981, 13 (04): : 1 - 8
  • [7] Scatterometer and ScanSAR Soil Moisture observations of the contiguous United States
    Pathe, Carsten
    Wagner, Wolfgang
    Sabel, Daniel
    Bartalis, Zoltan
    Doubkova, Marcela
    Naeimi, Vahid
    2009 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2009, : 90 - 93
  • [8] Mapping Climatological Bare Soil Albedos over the Contiguous United States Using MODIS Data
    He, Tao
    Gao, Feng
    Liang, Shunlin
    Peng, Yi
    REMOTE SENSING, 2019, 11 (06)
  • [9] Salinity Yield Modeling of the Upper Colorado River Basin Using 30-m Resolution Soil Maps and Random Forests
    Nauman, Travis W.
    Ely, Christopher P.
    Miller, Matthew P.
    Duniway, Michael C.
    WATER RESOURCES RESEARCH, 2019, 55 (06) : 4954 - 4973
  • [10] Historical Changes in Surface Soil Moisture Over the Contiguous United States: An Assessment of CMIP6
    Yuan, Shanshui
    Quiring, Steven M.
    Leasor, Zachary T.
    GEOPHYSICAL RESEARCH LETTERS, 2021, 48 (01)