Upscaling soil moisture from point scale to field scale: Toward a general model

نویسندگان

چکیده

Abstract Field‐scale soil moisture measurements are valuable but rarely available because the resolution of most satellite products is too coarse, while in situ sensors provide only point‐scale data. Previous upscaling approaches for such data mostly site‐specific, and none suitable to upscale from thousands stations existing monitoring networks. To help fill this gap, research aims develop a more broadly applicable approach using Marena, Oklahoma, In Situ Sensor Testbed cosmic‐ray neutron rover. Rover survey were used measure average ∼64‐ha field on 12 dates 2019–2020. Statistical modeling was identify soil, terrain, vegetation properties influencing relationships between field‐scale rover six sites. Site‐specific linear models estimated with root mean squared error (RMSE) values ranging 0.007 0.017 cm 3 −3 , not transferrable create general model, Least Absolute Shrinkage Selection Operator regression leave‐one‐out cross‐validation key predictors upscaling. The resulting parsimonious model required observations sand content achieved RMSE 0.006 0.031 texture‐based demonstrated reasonable accuracy promising step toward that could be applied stations.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Heated distributed temperature sensing for field scale soil moisture monitoring.

Characterizing both spatial and temporal soil moisture (θ) dynamics at site scales is difficult with existing technologies. To address this shortcoming, we developed a distributed soil moisture sensing system that employs a distributed temperature sensing system to monitor thermal response at 2 m intervals along the length of a buried cable which is subjected to heat pulses. The cable temperatu...

متن کامل

Soil Moisture from Point to Footprint Scale: Spatio-Temporal Variability, Time Stability, and Physical Controls

Soil moisture is a key state variable of the hydrologic cycle. It plays a significant role in many hydrological, meteorological and other natural processes in the land-atmosphere continuum. In the past two decades we have conducted several field campaigns to better understand the underlying processes controlling the spatio-temporal variations of soil moisture using multiple ground, air, and spa...

متن کامل

Estimating spatial mean root-zone soil moisture from point-scale observations

Root zone soil moisture is a key variable in many land surface hydrology models. Often, however, there is a mismatch in the spatial scales at which models simulate soil moisture and at which soil moisture is observed. This complicates model validation. The increased availability of detailed datasets on space-time variability of root-zone soil moisture allows for a posteriori analysis of the unc...

متن کامل

Spatio-temporal patterns of field-scale soil moisture and their implications for in situ soil moisture network design

This dissertation describes efforts to overcome the challenges in designing in situ soil moisture observation network. The surface soil moisture data collected at two spatial scales in a working field in Iowa throughout the growing seasons in 2004 to 2008 were used to describe the spatio-temporal characteristics of soil moisture at field scale. The rank stability analysis was used to identify t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Vadose Zone Journal

سال: 2023

ISSN: ['1539-1663']

DOI: https://doi.org/10.1002/vzj2.20244