Examining the difference in gridded reanalysis of climate forcing and the meteorological station observations and its implication for land-surface fluxes simulations
Steven Billington1, Tianyi Hu2
1Department of Hydrology and Atmospheric Sciences
The University of Arizona, Tucson, AZ
2Department of Hydrology and Atmospheric Sciences
The University of Arizona, Tucson, AZ
Climate drives the growth dynamics of terrestrial plants, which in turn impacts the water, carbon, and energy exchange between the atmosphere and the land. When applying the land-surface model to understand the land and climate interactions, climate forcing data with different spatial resolutions may introduce simulation uncertainty, but it is seldom quantified. To address this uncertainty, we aim to integrate gridded-based and meteorology station-monitored climate forcing data with the community land model (CLM5.0) to assess the differences in two data sources and their impacts on carbon, water, and energy flux simulations at a site level. Forcing data is observational data that can be used to run CLM5.0. We analyzed the differences between two data sources at the Maricopa site. One is the Analysis of the record of recalibration (AORC) climate forcing data with the spatial resolution of 30 arc seconds (about 800m). The other is the meteorological data monitored from The Arizona Meteorological Network (AZMet) for the Maricopa site. We analyzed the difference in diurnal variability, seasonality, and interannual variability in temperature, precipitation, wind, surface pressure, relative humidity, and solar radiation. Then we used this data to drive the CLM to simulate the guayule growth at the Maricopa site between 2017 and 2020. Finally, we assessed how these differences in climate forcing data may affect simulated water, energy, and carbon fluxes at the Maricopa site.