scholarly journals Quality Control and Evaluation of the Observed Daily Data in the North American Soil Moisture Database

2019 ◽  
Vol 33 (3) ◽  
pp. 501-518 ◽  
Author(s):  
Weilin Liao ◽  
Dagang Wang ◽  
Guiling Wang ◽  
Youlong Xia ◽  
Xiaoping Liu
Keyword(s):  
Quality Control ◽  
Soil Moisture ◽  
North American ◽  
The North ◽  
Daily Data

scholarly journals Automated Quality Control of In Situ Soil Moisture from the North American Soil Moisture Database Using NLDAS-2 Products

2015 ◽  
Vol 54 (6) ◽  
pp. 1267-1282 ◽  
Author(s):  
Youlong Xia ◽  
Trent W. Ford ◽  
Yihua Wu ◽  
Steven M. Quiring ◽  
Michael B. Ek
Keyword(s):  
Quality Control ◽  
Soil Moisture ◽  
North American ◽  
Soil Layer ◽  
Control Procedure ◽  
Multiple Model ◽  
Quality Control Procedure ◽  
The North ◽  
Automated Quality Control

AbstractThe North American Soil Moisture Database (NASMD) was initiated in 2011 to provide support for developing climate forecasting tools, calibrating land surface models, and validating satellite-derived soil moisture algorithms. The NASMD has collected data from over 30 soil moisture observation networks providing millions of in situ soil moisture observations in all 50 states, as well as Canada and Mexico. It is recognized that the quality of measured soil moisture in NASMD is highly variable because of the diversity of climatological conditions, land cover, soil texture, and topographies of the stations, and differences in measurement devices (e.g., sensors) and installation. It is also recognized that error, inaccuracy, and imprecision in the data can have significant impacts on practical operations and scientific studies. Therefore, developing an appropriate quality control procedure is essential to ensure that the data are of the best quality. In this study, an automated quality control approach is developed using the North American Land Data Assimilation System, phase 2 (NLDAS-2), Noah soil porosity, soil temperature, and fraction of liquid and total soil moisture to flag erroneous and/or spurious measurements. Overall results show that this approach is able to flag unreasonable values when the soil is partially frozen. A validation example using NLDAS-2 multiple model soil moisture products at the 20-cm soil layer showed that the quality control procedure had a significant positive impact in Alabama, North Carolina, and west Texas. It had a greater impact in colder regions, particularly during spring and autumn. Over 433 NASMD stations have been quality controlled using the methodology proposed in this study, and the algorithm will be implemented to control data quality from the other ~1200 NASMD stations in the near future.

Vegetation controls on soil moisture distribution in the Valles Caldera, New Mexico, during the North American monsoon

Ecohydrology ◽  
2008 ◽  
Vol 1 (3) ◽  
pp. 225-238 ◽  
Author(s):  
Enrique R. Vivoni ◽  
Alex J. Rinehart ◽  
Luis A. Méndez-Barroso ◽  
Carlos A. Aragón ◽  
Gautam Bisht ◽  
...  
Keyword(s):  
Soil Moisture ◽  
New Mexico ◽  
North American ◽  
Moisture Distribution ◽  
North American Monsoon ◽  
Valles Caldera ◽  
The North ◽  
Soil Moisture Distribution

Observed relation between evapotranspiration and soil moisture in the North American monsoon region

2008 ◽  
Vol 35 (22) ◽  
Author(s):  
Enrique R. Vivoni ◽  
Hernan A. Moreno ◽  
Giuseppe Mascaro ◽  
Julio C. Rodriguez ◽  
Christopher J. Watts ◽  
...  
Keyword(s):  
Soil Moisture ◽  
North American ◽  
North American Monsoon ◽  
Monsoon Region ◽  
The North

Positivity Ratio and Reaction Index: Patch-Test Quality-Control Metrics Applied to the North American Contact Dermatitis Group Database

Dermatitis ◽  
2010 ◽  
Vol 21 (2) ◽  
pp. 91-97 ◽  
Author(s):  
Erin M. Warshaw ◽  
David D. Nelsen ◽  
Denis Sasseville ◽  
Donald V. Belsito ◽  
Howard I. Maibach ◽  
...  
Keyword(s):  
Quality Control ◽  
Contact Dermatitis ◽  
Patch Test ◽  
North American ◽  
Test Quality ◽  
The North ◽  
Reaction Index ◽  
Quality Control Metrics ◽  
Positivity Ratio

Pilot studies for the North American Soil Geochemical Landscapes Project – Site selection, sampling protocols, analytical methods, and quality control protocols

2009 ◽  
Vol 24 (8) ◽  
pp. 1357-1368 ◽  
Author(s):  
David B. Smith ◽  
Laurel G. Woodruff ◽  
Richard M. O’Leary ◽  
William F. Cannon ◽  
Robert G. Garrett ◽  
...  
Keyword(s):  
Quality Control ◽  
North American ◽  
Site Selection ◽  
Analytical Methods ◽  
Pilot Studies ◽  
The North ◽  
Sampling Protocols ◽  
Geochemical Landscapes ◽  
Project Site ◽  
Control Protocols

scholarly journals An Evaluation of the North American Regional Reanalysis Simulated Soil Moisture Conditions during the 2011–13 Drought Period

2017 ◽  
Vol 18 (2) ◽  
pp. 515-527 ◽  
Author(s):  
Ronald D. Leeper ◽  
Jesse E. Bell ◽  
Chanté Vines ◽  
Michael Palecki
Keyword(s):  
Soil Moisture ◽  
North American ◽  
Soil Characteristics ◽  
Spatial Extent ◽  
Soil Conditions ◽  
The North ◽  
Hydrological Extremes ◽  
North American Regional Reanalysis ◽  
Regional Reanalysis ◽  
Moisture Conditions

Abstract Accurate and timely information on soil moisture conditions is an important component to effectively prepare for the damaging aspects of hydrological extremes. The combination of sparsely dense in situ networks and shallow observation depths of remotely sensed soil moisture conditions often force local and regional decision-makers to rely on numerical methods when assessing the current soil state. In this study, soil moisture from a commonly used, high-resolution reanalysis dataset is compared to observations from the U.S. Climate Reference Network (USCRN). The purpose of this study is to evaluate how well the North American Regional Reanalysis (NARR) captured the evolution, intensity, and spatial extent of the 2012 drought using both raw volumetric values and standardized anomalies of soil moisture. Comparisons revealed that despite a dry precipitation bias of 22% nationally, NARR had predominantly wetter 5-cm volumetric soil conditions over the growing season (April–September) than observed at USCRN sites across the contiguous United States, with differences more pronounced in drier regions. These biases were partially attributed to differences between the dominant soil characteristics assigned to the modeled grid cells and localized soil characteristics at the USCRN stations. However, NARR was able to successfully capture many aspects of the 2012 drought, including the timing, intensity, and spatial extent when using standardized soil moisture anomalies. Standardizing soil moisture conditions reduced the magnitude of systematic biases between NARR and USCRN in many regions and provided a more robust basis for utilizing modeled soil conditions in assessments of hydrological extremes.

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