Published January 10, 2024 | Version v1

Data for: Assessing the Impacts of Falling Ice Radiative Effects on the Seasonal Variation of Land Surface Properties

  • 1. JPL/California Institute of Technology
  • 2. ROR icon University of Florida

Abstract

The impacts of falling ice radiative effects (FIREs) on land-atmosphere feedback processes were examined, with a focus on the fidelity of land surface properties and their variability as inferred by global climate models (GCMs). We conducted a pair of sensitivity experiments using the National Center for Atmospheric Research (NCAR) Community Earth System Model Version 1 (CESM1) in fully coupled modes with FIREs turned on and off. This allowed us to investigate the seasonal response of land surface properties to changes in radiation fluxes and land surface temperature (LST) associated with FIREs across global land areas. Our findings indicate that during boreal winter, excluding FIREs results in less surface downward longwave and net flux (∼5–15 Wm-2), leading to a colder land surface (∼2–4 K) and colder air temperatures (~1-4 K) at mid- and high latitudes. Consequently, the surface frozen soil layer and snow cover persist through spring, delaying snowmelt and thawing until summer. This delay reduces liquid soil moisture, thereby suppressing vegetation productivity in subsequent seasons. Conversely, tropical regions, exhibit contrasting responses, with a warmer land surface (∼0.5 K) and warmer air temperatures (~0.1-0.5 K) due to increased surface downward shortwave and net flux (∼2–10 Wm-2). This enhancement in radiation fosters increased vegetation productivity throughout the seasonal cycle. These findings illustrate a local response of land surface properties to changes in the surface energy balance and LST, highlighting the significant role that FIREs play in land surface modeling within GCMs.

Notes

The NOS and SON data files of the CESM1-CAM5 sensitivity experiment can be opened by an programming software that is capable of reading NetCDF files such python, R, IDL, MATLAB.

 

 

Methods

Please refer to the manuscript: 

Kisembe et al. Assessing the Impacts of Falling Ice Radiative Effects on the Seasonal Variation of Land Surface Properties, Journal of Geophysical Research: Atmospheres, 2024, submitted. 

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