Effects of Winter Snow Cover on Spring Soil Moisture Based on Remote Sensing Data Product over Farmland in Northeast China

Spring soil moisture (SM) is of great importance for monitoring agricultural drought and waterlogging in farmland areas. While winter snow cover has an important impact on spring SM, relatively little research has examined the correlation between winter snow cover and spring SM in great detail. To understand the effects of snow cover on SM over farmland, the relationship between winter snow cover parameters (maximum snow depth (MSD) and average snow depth (ASD)) and spring SM in Northeast China was examined based on 30 year passive microwave snow depth (SD) and SM remote-sensing products. Linear regression models based on winter snow cover were established to predict spring SM. Moreover, 4 year SD and SM data were applied to validate the performance of the linear regression models. Additionally, the effects of meteorological factors on spring SM also were analyzed using multiparameter linear regression models. Finally, as a specific application, the best-performing model was used to predict the probability of spring drought and waterlogging in farmland in Northeast China. Our results illustrated the positive effects of winter snow cover on spring SM. The average correlation coefficient (R) of winter snow cover and spring SM was above 0.5 (significant at a 95% confidence level) over farmland. The performance of the relationship between snow cover and SM in April was better than that in May. Compared to the multiparameter linear regression models in terms of fitting coefficient, MSD can be used as an important snow parameter to predict spring drought and waterlogging probability in April. Specifically, if the relative SM threshold is 50% when spring drought occurs in April, the prediction probability of the linear regression model concerning snow cover and spring SM can reach 74%. This study improved our understanding of the effects of winter snow cover on spring SM and will be beneficial for further studies on the prediction of spring drought.

[1]  Wei Gao,et al.  Validation of the ESA CCI soil moisture product in China , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[2]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[3]  Yanbo He,et al.  Assessing relative soil moisture with remote sensing data: theory, experimental validation, and application to drought monitoring over the North China Plain , 2003 .

[4]  Michael H. Cosh,et al.  Assimilation of Remotely Sensed Soil Moisture and Snow Depth Retrievals for Drought Estimation , 2014 .

[5]  Lingjia Gu,et al.  Effects of snow cover on ground thermal regime: A case study in Heilongjiang Province of China , 2016, Chinese Geographical Science.

[6]  Jian Wang,et al.  Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang, China , 2012 .

[7]  R. Armstrong,et al.  Snow depth derived from passive microwave remote-sensing data in China , 2008, Annals of Glaciology.

[8]  Yi Y. Liu,et al.  Error characterisation of global active and passive microwave soil moisture datasets. , 2010 .

[9]  Aaron A. Berg,et al.  Influence of snowmelt on soil moisture and on near surface air temperature during winter–spring transition season , 2018, Climate Dynamics.

[10]  G. K. Walker,et al.  Global Fields of Soil Moisture and Land Surface Evapotranspiration Derived from Observed Precipitation and Surface Air Temperature. , 1993 .

[11]  Yi Y. Liu,et al.  Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals , 2011 .

[12]  David C. Weindorf,et al.  Soil Database of 1:1,000,000 Digital Soil Survey and Reference System of the Chinese Genetic Soil Classification System , 2004 .

[13]  Xiaofeng Li,et al.  A New Soil Moisture Retrieval Algorithm from the L-Band Passive Microwave Brightness Temperature Based on the Change Detection Principle , 2020, Remote. Sens..

[14]  Dejing Qiao,et al.  VALIDATION OF THE DAILY PASSIVE MICROWAVE SNOW DEPTH PRODUCTS OVER NORTHERN CHINA , 2018 .

[15]  Fulu Tao,et al.  Changes in agricultural water demands and soil moisture in China over the last half-century and their effects on agricultural production , 2003 .

[16]  Rui Jin,et al.  Cryospheric change in China , 2008 .

[17]  Shihyan Lee,et al.  A review of global satellite-derived snow products , 2012 .

[18]  E. Bednorz,et al.  Snow cover in eastern Europe in relation to temperature, precipitation and circulation , 2004 .

[19]  Zong-Liang Yang,et al.  Effects of Frozen Soil on Snowmelt Runoff and Soil Water Storage at a Continental Scale , 2006 .

[20]  E. Wood,et al.  Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .

[21]  Qiang Fu,et al.  Effect of snow-straw collocation on the complexity of soil water and heat variation in the Songnen Plain, China , 2019, CATENA.

[22]  Qiang Liu,et al.  Precipitation variability in Northeast China from 1961 to 2008 , 2011 .

[23]  Roger C. Bales,et al.  Soil moisture response to snowmelt timing in mixed‐conifer subalpine forests , 2015 .

[24]  F. Ling,et al.  Impact of the timing and duration of seasonal snow cover on the active layer and permafrost in the Alaskan Arctic , 2003 .

[25]  José Martínez-Fernández,et al.  Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index , 2016 .

[26]  Liyun Dai,et al.  Spatiotemporal variability in snow cover from 1987 to 2011 in northern China , 2014 .

[27]  L. E. Goodrich,et al.  The influence of snow cover on the ground thermal regime , 1982 .

[28]  E. Njoku,et al.  Passive microwave remote sensing of soil moisture , 1996 .

[29]  Yi Y. Liu,et al.  ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions , 2017 .

[30]  Nianqin Wang,et al.  Relationship between Winter Snow Cover Dynamics, Climate and Spring Grassland Vegetation Phenology in Inner Mongolia, China , 2019, ISPRS Int. J. Geo Inf..

[31]  Dylan Beaudette,et al.  Soil Moisture Response to Snowmelt and Rainfall in a Sierra Nevada Mixed‐Conifer Forest , 2011 .

[32]  Josef Soukup,et al.  Driving role of snow cover on soil moisture and drought development during the growing season in the Czech Republic , 2016 .

[33]  Thomas Schmugge,et al.  Passive Microwave Soil Moisture Research , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[34]  M. Shinoda,et al.  Climate memory of snow mass as soil moisture over central Eurasia , 2001 .

[35]  Hui Ju,et al.  Adaptation of agriculture to warming in Northeast China , 2007 .

[36]  Liyun Dai,et al.  Estimation of snow depth from passive microwave brightness temperature data in forest regions of northeast China , 2016 .

[37]  John E. Walsh,et al.  Influences of snow cover and soil moisture on monthly air temperature , 1985 .

[38]  W. Wagner,et al.  Evaluation of the ESA CCI soil moisture product using ground-based observations , 2015 .

[39]  Lie Tang,et al.  Standing corn residue effects on soil frost depth, snow depth and soil heat flux in Northeast China , 2017 .

[40]  Yi Y. Liu,et al.  Trend-preserving blending of passive and active microwave soil moisture retrievals , 2012 .

[41]  Tingjun Zhang.  Influence of the seasonal snow cover on the ground thermal regime: An overview , 2005 .

[42]  Yi Y. Liu,et al.  Evaluating global trends (1988–2010) in harmonized multi‐satellite surface soil moisture , 2012 .

[43]  Qiang Fu,et al.  The functions of soil water and heat transfer to the environment and associated response mechanisms under different snow cover conditions , 2018, Geoderma.

[44]  Shuang Liang,et al.  Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China , 2019, IEEE Access.

[45]  K. Vinnikov,et al.  Soil Moisture: Empirical Data and Model Results. , 1991 .

[46]  Qiang Fu,et al.  The Critical Depth of Freeze-Thaw Soil under Different Types of Snow Cover , 2017 .