93 Publications (Page 1 of 4)
2024
Using phenology to unravel differential soil water use and productivity in a semiarid savanna. Ecosphere
. | Journal Article
2023
Aims and Scope of JAMES. Journal of Advances in Modeling Earth Systems
. | Journal Article
 
Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model. Biogeosciences
. | Journal Article
 
Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades. Agricultural and Forest Meteorology
. | Journal Article
 
Thank You to Our 2022 Peer Reviewers. Journal of Advances in Modeling Earth Systems
. | Journal Article
2022
An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space. Journal of Advances in Modeling Earth Systems
. | Journal Article
 
Assimilation of global satellite leaf area estimates reduces modeled global carbon uptake and energy loss by terrestrial ecosystems. Journal of Geophysical Research: Biogeosciences
Fox, Andrew M.Huo, XueliHoar, Timothy J.Dashti, HamidSmith, William K.MacBean, NatashaAnderson, Jeffrey L.Roby, Matthew and Moore, David J. P.
 
Assimilation of multiple different datasets results in large differences in regional to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model
 
Building a Land Data Assimilation Community to Tackle Technical Challenges in Quantifying and Reducing Uncertainty in Land Model Predictions
Mac Bean, NatashaLiddy, HannahQuaife, TristanKolassa, Jana and Fox, rew
Bulletin of the American Meteorological Society, vol. 103, (no. 3), pp. 733-740, Mar 2022. | Journal Article
 
Confronting the water potential information gap
Nature Geoscience. | Journal Article
 
Confronting the water potential information gap
Novick, KimberlyNovick, KimberlyNovick, KimberlyNovick, KimberlyFicklin, DarrenFicklin, DarrenFicklin, DarrenFicklin, DarrenBaldocchi, DennisBaldocchi, DennisBaldocchi, DennisBaldocchi, DennisDavis, KennethDavis, KennethDavis, KennethDavis, KennethGhezzehei, TeamratGhezzehei, TeamratGhezzehei, TeamratGhezzehei, TeamratKonings, AlexandraKonings, AlexandraKonings, AlexandraKonings, AlexandraMacBean, NatashaMacBean, NatashaMac Bean, NatashaMacBean, NatashaRaoult, NinaRaoult, NinaRaoult, NinaRaoult, NinaScott, RussellScott, RussellScott, RussellScott, RussellShi, YuningShi, YuningShi, YuningShi, YuningSulman, BenjaminSulman, BenjaminSulman, BenjaminSulman, BenjaminWood, JeffreyWood, JeffreyWood, Jeffrey and Wood, Jeffrey
Copernicus GmbH
 
Dryland productivity under a changing climate. Nature Climate Change
Wang, LixinJiao, WenzheMacBean, NatashaRulli, Maria CristinaManzoni, StefanoVico, Giulia and D’Odorico, Paolo
. | Journal Article
 
Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies with the ORCHIDEE Terrestrial Biosphere Model
Global Biogeochemical Cycles. | Journal Article
 
Supplementary material to "Assimilation of multiple different datasets results in large differences in regional to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model"
 
Thank You to Our 2021 Reviewers
Griffies, Stephen M.Blyth, Eleanor MaryFan, JiwenMac Bean, Natasha and Schneider, Tapio
Journal of Advances in Modeling Earth Systems, vol. 14. | Journal Article
 
Thank You to Our 2021 Reviewers. Journal of Advances in Modeling Earth Systems
2021
Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems
Environmental Research Letters. | Journal Article
 
Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO 2 Flux and its Inter‐Annual Variability
Journal of Geophysical Research: Biogeosciences. | Journal Article
 
Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter-Annual Variability
 
Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter-Annual Variability
 
Optimizing Phenology Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Net CO2 Flux Inter-Annual Variability
2020
Formal response to Reviewer 1
 
Formal response to Reviewer 2
 
Informal initial response to anonymous reviewer #1
 
Informal initial response to Anonymous Reviewer #1