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Linnia Hawkins
Linnia Hawkins
Earth & Environmental Engineering, Columbia University
Zweryfikowany adres z columbia.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
No evidence of canopy-scale leaf thermoregulation to cool leaves below air temperature across a range of forest ecosystems
CJ Still, G Page, B Rastogi, DM Griffith, DM Aubrecht, Y Kim, SP Burns, ...
Proceedings of the National Academy of Sciences 119 (38), e2205682119, 2022
692022
Imaging canopy temperature: shedding (thermal) light on ecosystem processes
CJ Still, B Rastogi, GFM Page, DM Griffith, A Sibley, M Schulze, ...
New Phytologist 230 (5), 1746-1753, 2021
632021
Anthropogenic influence on recent severe autumn fire weather in the west coast of the United States
LR Hawkins, JT Abatzoglou, S Li, DE Rupp
Geophysical Research Letters 49 (4), e2021GL095496, 2022
302022
Parametric sensitivity of vegetation dynamics in the TRIFFID model and the associated uncertainty in projected climate change impacts on western US Forests
LR Hawkins, DE Rupp, DJ McNeall, S Li, RA Betts, PW Mote, SN Sparrow, ...
Journal of Advances in Modeling Earth Systems 11 (8), 2787-2813, 2019
172019
Carbon uptake by Douglas-fir is more sensitive to increased temperature and vapor pressure deficit than reduced rainfall in the western Cascade Mountains, Oregon, USA
KM Jarecke, LR Hawkins, KD Bladon, SM Wondzell
Agricultural and Forest Meteorology 329, 109267, 2023
132023
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation
S Li, DE Rupp, L Hawkins, PW Mote, D McNeall, SN Sparrow, ...
Geoscientific Model Development 12 (7), 3017-3043, 2019
132019
Spatial patterns of extreme precipitation and their changes under~ 2° C global warming: a large-ensemble study of the western USA
DE Rupp, LR Hawkins, S Li, M Koszuta, N Siler
Climate Dynamics 59 (7), 2363-2379, 2022
92022
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation, Geosci. Model Dev., 12, 3017–3043
S Li, DE Rupp, L Hawkins, PW Mote, D McNeall, SN Sparrow, ...
gmd-12-3017-2019, 2019
92019
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX
A Zhou, L Hawkins, P Gentine
arXiv preprint arXiv:2405.00018, 2024
52024
A comparison of multiple statistically downscaled climate change datasets for the conterminous USA
JB Kim, Y Jiang, LR Hawkins, CJ Still
Environmental Research Communications 4 (12), 125005, 2022
42022
Comparing model representations of physiological limits on transpiration at a semi‐arid ponderosa pine site
LR Hawkins, M Bassouni, WRL Anderegg, MD Venturas, SP Good, ...
Journal of advances in modeling earth systems 14 (11), e2021MS002927, 2022
42022
Measuring, Monitoring, and Modeling Ecosystem Cycling
LR Hawkins, J Kumar, X Luo, D Sihi, S Zhou
Eos 101, 2020
32020
One-at-a-time parameter perturbation ensemble of the community land model, version 5.1
D Kennedy, K Dagon, DM Lawrence, RA Fisher, BM Sanderson, N Collier, ...
Authorea Preprints, 2024
22024
Reply to Garen et al.: Within-canopy temperature data also do not support limited homeothermy
CJ Still, GFM Page, B Rastogi, DM Griffith, DM Aubrecht, Y Kim, SP Burns, ...
Proceedings of the National Academy of Sciences 120 (15), e2302515120, 2023
12023
Corrigendum to: Imaging canopy temperature: shedding (thermal) light on ecosystem processes (New Phytologist,(2021), 230, 5,(1746-1753), 10.1111/nph. 17321)
M Detto, DM Griffith, L Hawkins, BR Helliker, GFM Page, S Pau, B Rastogi, ...
New Phytologist 233 (4), 1966, 2022
12022
Modeling forest response to changing climate conditions in Western North America
LR Hawkins
12019
History Matching with Evidential Deep Neural Networks to Improve Terrestrial Water Storage Simulations in the Community Land Model
K Silwimba, AN Flores, L Hawkins, C Becker, K Dagon, I Cionne, ...
Authorea Preprints, 2024
2024
Phenologies: Defining Seasons Through Vegetation-related Metrics
RY Gu, A Lahlou, LR Hawkins, W Zhan, P Gentine
AGU24, 2024
2024
Photosynthetic responses to intrinsic water-use efficiency depend on atmospheric feedbacks and modify the magnitude of response to elevated CO2
AX Liu, CM Zarakas, BG Buchovecky, LR Hawkins, AS Cordak, ...
Authorea Preprints, 2024
2024
Parameter Estimation in Land Surface Models: Challenges and Opportunities with Data Assimilation and Machine Learning
N Raoult, N Douglas, N MacBean, J Kolassa, T Quaife, AG Roberts, ...
Authorea Preprints, 2024
2024
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