Published July 29, 2024 | Version v1

Data for "Moisture from US Corn Belt fuels more intense convective storms"

  • 1. ROR icon NSF National Center for Atmospheric Research
  • 2. ROR icon Universidade de Santiago de Compostela
  • 3. ROR icon Hong Kong University of Science and Technology

Description

Description of the Dataset

This Dataset is uploaded together with paper submitted to Nature journal

"Moisture from US Corn Belt fuels more intense convective storms"

MCS_track_object.zip file contains the compressed .pkl files that contain the tracking object information for three-year growing season, for StageIV radar observations, the Baseline simulation, and GW-Crop-Irr simulation. For each tracked object, a unique ID would be produced, along with information regarding its lifetime, area, rainfall rate, speed, etc. 

NetCDF4 files contain the hourly mask files with hourly precipitation output attached. Hence, for each tracked storm with its unique ID, a spatial mask would be produced along with its hourly precipitation output. Thus, matching these two information can map the precipitation area and amount for each tracked storm through its lifetime. Dimension: 2952 hour (MJJA four months) x 659 (lat) x 659 (lon), size: 10G each. 

NetCDF4 files contain the hourly tracer precipitation from WVT. This data has the same dimension as the precipitation in above object mask and precipitation files. Dimension: 2952 hour (MJJA four months) x 659 (lat) x 659 (lon), size: 4G each. 

Due to storage constrain in Zenodo, we upload the 2010 MCS object tracking data as an example. 

Please contact zhezhang@ucar.edu for further inquiry.

 

Files

MCS_track_object.zip

Files (38.7 GB)

Name Size
md5:a787882b15d158a2062aca0748e0ee0b
10.3 GB Download
md5:18d13f4d7ca166db1f056bbe7bd33e57
10.3 GB Download
md5:05b515e082f9e1609fe69f4d4610975b
10.3 GB Download
md5:098c9f2a3e9907c3437b7ccb1412039a
2.6 MB Preview Download
md5:9f9e44c059fb0b3c4bbbfa8996ee3176
4.0 GB Download
md5:37eced9796862a939aaddb34162310bd
4.0 GB Download