Colin P. Evans

ORCID: 0000-0002-0004-8085
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Plant Water Relations and Carbon Dynamics
  • Oceanographic and Atmospheric Processes
  • Hydrology and Drought Analysis
  • Atmospheric and Environmental Gas Dynamics
  • Remote Sensing in Agriculture
  • Climate change impacts on agriculture
  • Climate Change and Health Impacts
  • Tropical and Extratropical Cyclones Research
  • Geophysics and Gravity Measurements
  • Aeolian processes and effects
  • Soil Moisture and Remote Sensing
  • Geology and Paleoclimatology Research

Cornell University
2020-2024

NSF National Center for Atmospheric Research
2020-2022

Climate and Global Dynamics Laboratory
2022

Abstract Strengthened land‐atmosphere coupling in the northeastern United States (NEUS), accompanied by a positive soil moisture‐rainfall feedback, may lead to more drought. Coupling between land and atmosphere emerges when low moisture values limit surface latent heat flux, or evapotranspiration, so that majority of absorbed solar radiation is emitted from as sensible heat. In this study, Weather Research Forecasting model was run with four prescribed levels across 7 years elucidate...

10.1029/2021jd034740 article EN cc-by Journal of Geophysical Research Atmospheres 2022-03-12

Abstract Climate models consistently project a significant drying in the Caribbean during climate change, and between 2013 2016 region experienced worst multiyear drought historical period. Although dynamical mechanisms have been proposed to explain Caribbean, contributions from mass convergence advection precipitation minus evaporation ( P − E ) anomalies are unknown. Here we analyze dynamics of contemporaneous droughts by decomposing using observational simulated data. We find that arise...

10.1175/jcli-d-20-0100.1 article EN Journal of Climate 2020-08-17

Abstract Plant phenology regulates the carbon cycle and land‐atmosphere coupling. Currently, climate models often disagree with observations on seasonal of vegetation growth, partially due to how spring onset is measured simulated. Here we use both thermal leaf area index (LAI) based indicators characterize in CMIP6 models. Although historical timing varies considerably across models, most agree that has advanced recent decades will continue arrive earlier future warming. Across Northern...

10.1029/2023gl102833 article EN cc-by-nc Geophysical Research Letters 2023-04-26

Abstract Plant phenology influences both the terrestrial carbon cycle and land-atmosphere interactions, therefore can potentially modify large-scale circulations in atmosphere. However, considerable discrepancies are present among models between model simulations observations of plant phenology, adding large uncertainties to future climate projections. Here we modified Northern Hemisphere Community Earth System Model conducted characterize how differences influence coupling. changes land...

10.1175/jcli-d-23-0179.1 article EN Journal of Climate 2024-07-01

Observational and modeling studies indicate significant changes in the global hydroclimate twentieth early twenty-first centuries due to anthropogenic climate change. In this review, we analyze recent literature on observed attributable forcing, physical biological mechanisms underlying those changes, advantages limitations of current detection attribution methods. Changes magnitude spatial patterns precipitation minus evaporation ( P–E ) are consistent with increased water vapor content...

10.1371/journal.pclm.0000303 article EN public-domain PLOS Climate 2023-11-30

Abstract Hydroclimate variability of the southwest United States (SWUS) is influenced by tropical Pacific Ocean, particularly through teleconnection to El Niño/Southern Oscillation (ENSO), which expected be altered climate change. Natural in this has not been robustly quantified, complicating detection anthropogenic Here, we use a linear inverse model (LIM) quantify natural ENSO‐SWUS teleconnection. The LIM yields realistic patterns with century‐scale comparable simulations from Last...

10.1029/2022gl099770 article EN cc-by Geophysical Research Letters 2022-11-29

Abstract We investigated the predictability (forecast skill) of short-term droughts using Palmer drought severity index (PDSI). incorporated a sophisticated data training (of decadal range) to evaluate improvement forecast skill (3 months). whether synthetic North American Multi-Model Ensemble (NMME) climate has some influence on enhancing predictability. The central elements are merged information among PDSI and NMME with two postprocessing techniques. 1) bias correction–spatial...

10.1175/jhm-d-21-0237.1 article EN Journal of Hydrometeorology 2022-06-08

Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Science. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Intrinsic Century-Scale Variability in Tropical Pacific Sea Surface Temperatures their Influence on Southwestern US HydroclimateAuthorsColin PEvansiDTobyAultSloanCoatsCarlos M.CarrilloXiaoluLiMarc...

10.1002/essoar.10511030.1 preprint EN cc-by 2022-04-08

Abstract Plant phenology regulates the carbon cycle and land-atmosphere coupling. Currently, climate models often disagree with observations on seasonal of vegetation growth, partially due to how spring onset is measured simulated. Here we use both thermal leaf area index (LAI) based indicators characterize in CMIP6 models. Although historical timing varies considerably across models, most agree that has advanced recent decades will continue arrive earlier future warming. Across Northern...

10.21203/rs.3.rs-1982332/v1 preprint EN cc-by Research Square (Research Square) 2022-09-19

Plant phenology regulates the carbon cycle and land-atmosphere coupling. Currently, climate models often disagree with observations on seasonal of vegetation growth, partially due to how spring onset is measured simulated. Here we use both thermal leaf area index (LAI) based indicators characterize in CMIP6 models. Although historical timing varies considerably across models, most agree that has advanced recent decades will continue arrive earlier future warming. Across Northern Hemisphere...

10.1002/essoar.10512515.1 preprint EN cc-by 2022-09-30

Hydroclimate variability of the southwest United States (SWUS) is influenced by tropical Pacific Ocean, particularly phase El Niño/Southern Oscillation (ENSO), via teleconnections, which are expected to be altered climate change. However, natural in this teleconnection has not been robustly quantified, complicating detection anthropogenic Here, we use a linear inverse model (LIM) quantify ENSO-SWUS teleconnection. The LIM yields realistic patterns with century-scale strength comparable...

10.1002/essoar.10507791.1 preprint EN cc-by 2021-08-20
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