five

SHAW model inputs and outputs in boreal Alaska

收藏
DataCite Commons2025-12-12 更新2026-04-25 收录
下载链接:
http://www.hydroshare.org/resource/5a355d67357a4b8591def61602fe276b
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset support a manuscript in which we describe SHAW model calibration using a Generalized Likelihood Uncertainty Estimation (GLUE) approach at four boreal forest sites in interior Alaska. Two sites (Smith Lake 1 and Smith Lake 2) are permafrost-underlain black spruce sites. The other two are upland deciduous sites that were burned at varying intervals prior to the study period (US-Rpf and UP1A). Meteorological, vegetation, and soils data were obtained from a variety of resources, as detailed in the manuscript. Acceptable parameter sets are determined based on calibration to soil moisture and evaporation at these sites. Model instances with these parameter sets are then run with two downscaled climate models in order to evaluate the relative sensitivity of soil moisture and evapotranspiration to parameter selection, GCM, and climate change. These data include tabular summary results and model inputs and outputs for both observed meteorological forcings and GCM forcings for the accepted parameter sets. More details are in the manuscript, and file structures for the included data are described in the readme.md file (see below). Please see related resources for full manuscript details.
提供机构:
Consortium of Universities for the Advancement of Hydrologic Science, Inc
创建时间:
2025-12-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作