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Updated: May 28, 2025
09:55
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
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A high resolution, gridded product for vapor pressure deficit using Daymet
Nicholas K Corak1,2, Peter E Thornton3, Lauren E L Lowman4,5
1Department of Engineering, Wake Forest University, Winston-Salem, NC, USA.
Scientific Data
|February 12, 2025
Summary
This study introduces the first high-resolution gridded vapor pressure deficit (VPD) dataset for the CONUS+ region. This new resource aids in understanding drought and plant water stress, crucial for environmental monitoring.
Area of Science:
- Environmental Science
- Climatology
- Remote Sensing
Background:
- Vapor pressure deficit (VPD) is vital for assessing drought and plant water stress.
- Freely available, high-resolution gridded VPD products are lacking from existing satellite, reanalysis, or ground datasets.
Purpose of the Study:
- To develop the first daily, 1km gridded VPD product for the Continental US and parts of Northern Mexico and Southern Canada (CONUS+).
- To provide a valuable resource for drought assessment, plant water stress evaluation, and land management.
Main Methods:
- VPD was derived from Daymet maximum daily temperature and average daily vapor pressure.
- Estimates were scaled using Köppen-Geiger climate and International Geosphere-Biosphere Programme land cover classifications.
- Ground-based VPD data from 253 AmeriFlux sites were used to refine pixel-level estimates.
Main Results:
- Two versions of the CONUS+ gridded VPD dataset were produced at a 1km spatial resolution and daily time step.
- The derived VPD estimates were validated against independent observations and reanalysis data.
Conclusions:
- The CONUS+ VPD datasets represent a significant advancement in monitoring drought and plant water stress.
- These datasets will support research on disturbances like wildfire and inform land management strategies.
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