Soil-Water Balance model datasets used to estimate recharge for southeastern Minnesota, 2014-2018

A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek and others, 2018; https://doi.org/10.3133/tm6A59). The updated model was used to extract potential recharge rates for comparison to recharge rates calculated for two agricultural field sites in southeastern Minnesota, as part of the associated report, U.S. Geological Survey Scientific Investigations Report 2020-5006 (http://dx.doi.org/10.3133/sir20205006). The potential recharge rates were also used to simulate potential recharge rates for all of southeastern Minnesota from 2014-2018. For this model, the land-use grid was updated to the 2011 National Land Cover Database (NLCD); otherwise, the other input datasets and the lookup table were left unaltered from the original model. Daymet (version 3) daily surface weather data necessary for running this SWB model, including "prcp", "tmax", and "tmin", can be downloaded from this SWB model archive. Alternatively, the Daymet v3 are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1328.

针对明尼苏达州的原有土壤水量平衡（Soil-Water Balance, SWB）模型[Smith与Westenbroek，2015；http://dx.doi.org/10.3133/sir20155038]已完成更新，以模拟2014至2018年的潜在补给速率。原模型旨在估算1995至2010年的年均潜在补给量。本次更新使用新版SWB模型（即SWB 2.0版本）[Westenbroek等，2018；https://doi.org/10.3133/tm6A59]运行更新后的模型。作为配套报告《美国地质调查局科学调查报告2020-5006》（http://dx.doi.org/10.3133/sir20205006）的组成部分，更新后的模型被用于提取潜在补给速率，以与明尼苏达州东南部两处农田场地计算得到的补给速率进行对比。此外，该更新模型还被用于模拟2014至2018年明尼苏达州东南部全域的潜在补给速率。针对本次建模，其土地利用网格已更新至2011年全国土地覆盖数据库（National Land Cover Database, NLCD）；除土地利用网格外，其余输入数据集与查找表均沿用原始模型的配置，未做任何修改。运行该SWB模型所需的Daymet第3版逐日地表气象数据，包括prcp、tmax与tmin，可从本SWB模型档案库下载。此外，也可通过以下链接申请获取Daymet v3数据：https://doi.org/10.3334/ORNLDAAC/1328。