Data from: Direct insertion of NASA Airborne Snow Observatory-derived snow depth time-series into the iSnobal energy balance snow model
收藏agdatacommons.nal.usda.gov2024-02-08 更新2025-01-21 收录
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https://agdatacommons.nal.usda.gov/articles/dataset/Data_from_Direct_insertion_of_NASA_Airborne_Snow_Observatory-derived_snow_depth_time-series_into_the_iSnobal_energy_balance_snow_model/24852627/1
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资源简介:
This dataset accompanies a manuscript submission to Water Resources Research. The data herein consists of all of the hourly meteorological forcing variables needed to execute the iSnobal physically based snow model over the Tuolumne River Basin in the Sierra Nevada of California for water years 2013 to 2016. The variables are presented as vectors and include (1) air temperature, (2) relative humidity, (3) computed dew point temperature, (4) computed vapor pressure, (5) precipitation mass, (6) wind speed, (7) wind direction, (8) incoming solar radiation, and (9) a computed cloud factor product. Each variable has been through rigorous quality assurance and quality control to ensure that the data is model-ready. That is, there are no temporal data gaps over the total model domain, yet measurements from singular meteorological sites can go offline from time to time. Resources in this dataset:Resource Title: Dataset: Direct insertion of NASA Airborne Snow Observatory-derived snow depth time-series into the iSnobal energy balance snow model (Zenodo). File Name: Web Page, url: https://zenodo.org/record/1228400#.W8YDzGhKiUk The file structure is organized as follows:
ASO_50m_depth_surfaces - This folder contains the Airborne Snow Observatory lidar-derived snow depth products aggregated to 50m gridded spatial resolution. Each file is titled with a date such as ‘TBYYYYMMDD_SUPERsnow_depth.asc’. The coordinates are in UTM zone 11N and use the WGS84 coordinate system.
static_grids
Static grids are used in each of the subsequent folders and are not changed between years.
init0000.ipw
Initialization file to begin the model run. Contains the digital elevation model in band 1, surface roughness raster in band 2, and zeroed images of snow properties in bands 3-7.
maxus.nc
netCDF file of 72 separate images of maximum upwind slope for all upwind directions from 0 (north) to 355 degrees in 5-degree increments. Derived using Adam Winstral’s Sx algorithm.
tuolx_dem_50m.ipw
Digital elevation model from ASO snow-free acquisition aggregated to 50m gridded spatial resolution. Same information as band 1 in the init0000.ipw file.
tuolx_hetchy_mask_50m.ipw
Basin mask of the Tuolumne River Basin above Hetch Hetchy Reservoir. Out-of-basin cells denoted as 0, and in-basin cells denoted as 1.
tuolx_vegheight_50m.ipw
Vegetation height raster in meters. Derived from NLCD dataset of vegetation type..
tuolx_vegk_50m.ipw
Emissivity of the vegetation canopy. Derived from NLCD dataset of vegetation type.
tuolx_vegnlcd_50m.ipw
Vegetation type from the National Land Cover Database.
tuolx_vegtau_50m.ipw
Fractional transmissivity of the vegetation canopy. Derived from NLCD dataset of vegetation type.
The directories for each water year contain the configuration file for that year along with the vector meteorological data from measurement sites and site metadata in .csv format.
wy2013
wy2014
wy2015
wy2016
backup_config.ini
air_temp.csv
cloud_factor.csv
metadata.csv
precip.csv
vapor_pressure.csv
wind_direction.csv
wind_speed.csv
本数据集伴随提交至《水资源研究》杂志的手稿。其中包含用于执行加州内华达山脉图奥卢姆内河盆地iSnobal基于物理的雪模型所需的全部小时气象强迫变量,数据覆盖2013至2016年水年。这些变量以向量形式呈现,包括:(1)空气温度,(2)相对湿度,(3)计算露点温度,(4)计算水汽压,(5)降水量,(6)风速,(7)风向,(8)入射太阳辐射,(9)计算云因子产品。每个变量均经过严格的质保和质量控制,以确保数据适用于模型。也就是说,在整个模型域内没有时间数据空白,然而某些气象站点的测量数据有时会暂时中断。本数据集中包含的资源有:
资源标题:数据集:将NASA空中雪观测台(Airborne Snow Observatory, ASO)得到的雪深时间序列直接插入iSnobal能量平衡雪模型(Zenodo)。文件名:网页,网址:https://zenodo.org/record/1228400#.W8YDzGhKiUk
文件结构组织如下:
ASO_50m_depth_surfaces - 此文件夹包含由空中雪观测台激光雷达得到的雪深产品,并汇总至50米格网空间分辨率。每个文件以日期命名,例如‘TBYYYYMMDD_SUPERsnow_depth.asc’。坐标位于UTM区11N,并使用WGS84坐标系。
static_grids
静态网格在每个后续文件夹中使用,且在不同年份之间保持不变。
init0000.ipw
初始化文件,用于启动模型运行。包含数字高程模型在波段1,地表粗糙度栅格在波段2,以及雪性质零图像在波段3-7。
maxus.nc
由Adam Winstral的Sx算法导出的最大上坡坡度72个图像的netCDF文件,覆盖所有从0度(北)到355度,以5度为增量。
tuolx_dem_50m.ipw
由ASO无雪获取的数字高程模型,汇总至50米格网空间分辨率。与init0000.ipw文件中的波段1信息相同。
tuolx_hetchy_mask_50m.ipw
图奥卢姆内河盆地赫奇希水库以上的流域掩膜。流域外的单元格标记为0,流域内的单元格标记为1。
tuolx_vegheight_50m.ipw
植被高度栅格,单位为米。由植被类型NLCD数据集推导而来。
tuolx_vegk_50m.ipw
植被冠层的发射率。由植被类型NLCD数据集推导而来。
tuolx_vegncld_50m.ipw
来自国家土地覆盖数据库的植被类型。
tuolx_vegtau_50m.ipw
植被冠层的透射率分数。由植被类型NLCD数据集推导而来。
每个水年的目录包含该年的配置文件以及来自测量站的向量气象数据以及站点元数据,格式为.csv。
wy2013
wy2014
wy2015
wy2016
backup_config.ini
air_temp.csv
cloud_factor.csv
metadata.csv
precip.csv
vapor_pressure.csv
wind_direction.csv
wind_speed.csv
提供机构:
Ag Data Commons



