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Maneta, Marco P
144
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Online (144)
Mediatypes
Articles (Online) (78)
OpenAccess-fulltext (66)
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1
Importance of measured transpiration fluxes for modelled ec..:
Birkel, Christian
;
Arciniega-Esparza, Saul
;
Maneta, Marco P.
...
Agricultural and Forest Meteorology. 346 (2024) - p. 109870 , 2024
Link:
https://doi.org/10.1016/..
?
2
Irrigation response to drought in the Western United States..:
Ketchum, David
;
Hoylman, Zachary H.
;
Brinkerhoff, Douglas
...
JAWRA Journal of the American Water Resources Association. 60 (2024) 2 - p. 603-619 , 2024
Link:
https://doi.org/10.1111/..
?
3
Improving process-consistency of an ecohydrological model t..:
Duethmann, Doris
;
Anderson, Martha
;
Maneta, Marco P.
.
Journal of Hydrology. 628 (2024) - p. 130433 , 2024
Link:
https://doi.org/10.1016/..
?
4
Influence of seasonal climatic water deficit and crop price..:
Lauffenburger, Zachary H
;
Maneta, Marco P
;
Miller, Perry
.
Environmental Research Letters. 18 (2023) 5 - p. 054012 , 2023
Link:
https://doi.org/10.1088/..
?
5
Tracer‐aided ecohydrological modelling across climate, land..:
Arciniega‐Esparza, Saul
;
Birkel, Christian
;
Durán‐Quesada, Ana María
...
Hydrological Processes. 37 (2023) 5 - p. , 2023
Link:
https://doi.org/10.1002/..
?
6
A hydro-economic analysis of end-of-century climate project..:
Lauffenburger, Zachary H.
;
Maneta, Marco P.
;
Cobourn, Kelly M.
...
Journal of Hydrology: Regional Studies. 42 (2022) - p. 101127 , 2022
Link:
https://doi.org/10.1016/..
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7
Quantifying subsurface parameter and transport uncertainty ..:
Thiros, Nicholas E.
;
Gardner, W. Payton
;
Maneta, Marco P.
.
Hydrological Processes. 36 (2022) 11 - p. , 2022
Link:
https://doi.org/10.1002/..
?
8
DroughtCast: A Machine Learning Forecast of the United Stat..:
Brust, Colin
;
Kimball, John S.
;
Maneta, Marco P.
..
Frontiers in Big Data. 4 (2021) - p. , 2021
Link:
https://doi.org/10.3389/..
?
9
Structural changes to forests during regeneration affect wa..:
Neill, Aaron J.
;
Birkel, Christian
;
Maneta, Marco P.
..
Hydrology and Earth System Sciences. 25 (2021) 9 - p. 4861-4886 , 2021
Link:
https://doi.org/10.5194/..
?
10
Soil moisture variation drives canopy water content dynamic..:
Lyons, Drew S.
;
Dobrowski, Solomon Z.
;
Holden, Zachary A.
..
Remote Sensing of Environment. 253 (2021) - p. 112233 , 2021
Link:
https://doi.org/10.1016/..
?
11
Quantifying the effects of urban green space on water parti..:
Gillefalk, Mikael
;
Tetzlaff, Dörthe
;
Hinkelmann, Reinhard
...
Hydrology and Earth System Sciences. 25 (2021) 6 - p. 3635-3652 , 2021
Link:
https://doi.org/10.5194/..
?
12
Using SMAP Level-4 soil moisture to constrain MOD16 evapotr..:
Brust, Colin
;
Kimball, John S.
;
Maneta, Marco P.
...
Remote Sensing of Environment. 255 (2021) - p. 112277 , 2021
Link:
https://doi.org/10.1016/..
?
13
An agent-based model that simulates the spatio-temporal dyn..:
Neill, Aaron J.
;
Tetzlaff, Doerthe
;
Strachan, Norval J.C.
...
Journal of Environmental Management. 270 (2020) - p. 110903 , 2020
Link:
https://doi.org/10.1016/..
?
14
Qualitative crop condition survey reveals spatiotemporal pr..:
Beguería, Santiago
;
Maneta, Marco P.
Proceedings of the National Academy of Sciences. 117 (2020) 31 - p. 18317-18323 , 2020
Link:
https://doi.org/10.1073/..
?
15
Isotope‐aided modelling of ecohydrologic fluxes and water a..:
Smith, Aaron
;
Tetzlaff, Doerthe
;
Kleine, Lukas
..
Hydrological Processes. 34 (2020) 16 - p. 3406-3425 , 2020
Link:
https://doi.org/10.1002/..
1-15