Items where NERC Author is "Cooper, Elizabeth"
Visweshwaran, Ramesh ORCID: https://orcid.org/0000-0002-1664-9483; Cooper, Elizabeth
ORCID: https://orcid.org/0000-0002-1575-4222; Dance, Sarah L.
ORCID: https://orcid.org/0000-0003-1690-3338.
2025
Improving JULES soil moisture estimates through 4D-En-Var hybrid assimilation of COSMOS-UK soil moisture observations.
EGUsphere, egusphere-2024-3980.
10.5194/egusphere-2024-3980
Szczykulska, Magdalena; Huntingford, Chris ORCID: https://orcid.org/0000-0002-5941-7770; Cooper, Elizabeth
ORCID: https://orcid.org/0000-0002-1575-4222; Evans, Jonathan G..
2024
Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK climate projections.
Environmental Research Letters, 19 (10), 104024.
12, pp.
10.1088/1748-9326/ad7045
Cooper, Elizabeth ORCID: https://orcid.org/0000-0002-1575-4222; Charlton‐Perez, Cristina; Ellis, Rich.
2024
Comparison of Met Office regional model soil moisture with COSMOS‐UK field‐scale in situ observations.
Atmospheric Science Letters, 25 (8), e1236.
10, pp.
10.1002/asl.1236
Tanguy, Maliko ORCID: https://orcid.org/0000-0002-1516-6834; Eastman, Michael
ORCID: https://orcid.org/0000-0002-8212-5872; Chevuturi, Amulya
ORCID: https://orcid.org/0000-0003-2815-7221; Magee, Eugene; Cooper, Elizabeth
ORCID: https://orcid.org/0000-0002-1575-4222; Johnson, Robert H.B.
ORCID: https://orcid.org/0009-0009-9413-3413; Facer-Childs, Katie
ORCID: https://orcid.org/0000-0003-1060-9103; Hannaford, Jamie
ORCID: https://orcid.org/0000-0002-5256-3310.
2024
Optimising ensemble streamflow predictions with bias-correction and data assimilation techniques.
Hydrology and Earth System Sciences Discussions, hess-2024-179.
10.5194/hess-2024-179
Cooper, Elizabeth ORCID: https://orcid.org/0000-0002-1575-4222; Ellis, Rich
ORCID: https://orcid.org/0000-0001-9667-7478; Blyth, Eleanor
ORCID: https://orcid.org/0000-0002-5052-238X; Dadson, Simon
ORCID: https://orcid.org/0000-0002-6144-4639.
2023
A clustering approach to reduce computational expense in land surface models: a case study using JULES vn5.9.
EGUsphere, egusphere-2023-1596.
16, pp.
10.5194/egusphere-2023-1596
Cooper, Elizabeth ORCID: https://orcid.org/0000-0002-1575-4222; Martinez-de la Torre, Alberto
ORCID: https://orcid.org/0000-0003-0244-5348; Marthews, Toby
ORCID: https://orcid.org/0000-0003-3727-6468; Ellis, Rich; Kay, Alison
ORCID: https://orcid.org/0000-0002-5526-1756; Wiggins, Matthew; Dadson, Simon
ORCID: https://orcid.org/0000-0002-6144-4639; Rameshwaran, Ponnambalam
ORCID: https://orcid.org/0000-0002-8972-953X; Reynard, Nick
ORCID: https://orcid.org/0000-0002-5185-3869; Clark, Douglas
ORCID: https://orcid.org/0000-0003-1348-7922.
2022
Improved hydrology for regional environmental prediction.
Wallingford, UK Centre for Ecology & Hydrology, 39pp.
(Unpublished)
Peng, Jian; Tanguy, Maliko ORCID: https://orcid.org/0000-0002-1516-6834; Robinson, Emma L.
ORCID: https://orcid.org/0000-0002-3746-4517; Pinnington, Ewan
ORCID: https://orcid.org/0000-0003-1869-3426; Evans, Jonathan
ORCID: https://orcid.org/0000-0003-4194-1416; Ellis, Rich; Cooper, Elizabeth
ORCID: https://orcid.org/0000-0002-1575-4222; Hannaford, Jamie
ORCID: https://orcid.org/0000-0002-5256-3310; Blyth, Eleanor
ORCID: https://orcid.org/0000-0002-5052-238X; Dadson, Simon
ORCID: https://orcid.org/0000-0002-6144-4639.
2021
Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain.
Remote Sensing of Environment, 264, 112610.
18, pp.
10.1016/j.rse.2021.112610
Cooper, Elizabeth ORCID: https://orcid.org/0000-0002-1575-4222; Blyth, Eleanor
ORCID: https://orcid.org/0000-0002-5052-238X; Cooper, Hollie
ORCID: https://orcid.org/0000-0002-1382-3407; Ellis, Rich; Pinnington, Ewan
ORCID: https://orcid.org/0000-0003-1869-3426; Dadson, Simon J.
ORCID: https://orcid.org/0000-0002-6144-4639.
2021
Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations.
Hydrology and Earth System Sciences, 25 (5).
2445-2458.
10.5194/hess-25-2445-2021
Cooper, Hollie M. ORCID: https://orcid.org/0000-0002-1382-3407; Bennett, Emma
ORCID: https://orcid.org/0000-0001-7398-9268; Blake, James
ORCID: https://orcid.org/0000-0002-1033-4712; Blyth, Eleanor
ORCID: https://orcid.org/0000-0002-5052-238X; Boorman, David
ORCID: https://orcid.org/0000-0002-6436-5266; Cooper, Elizabeth
ORCID: https://orcid.org/0000-0002-1575-4222; Evans, Jonathan
ORCID: https://orcid.org/0000-0003-4194-1416; Fry, Matthew
ORCID: https://orcid.org/0000-0003-1142-4039; Jenkins, Alan; Morrison, Ross
ORCID: https://orcid.org/0000-0002-1847-3127; Rylett, Daniel
ORCID: https://orcid.org/0000-0002-7426-1153; Stanley, Simon
ORCID: https://orcid.org/0000-0002-8303-2969; Szczykulska, Magdalena
ORCID: https://orcid.org/0000-0002-5820-7093; Trill, Emily; Antoniou, Vasileios
ORCID: https://orcid.org/0000-0001-6011-4075; Askquith-Ellis, Anne; Ball, Lucy
ORCID: https://orcid.org/0000-0002-0203-5958; Brooks, Milo
ORCID: https://orcid.org/0000-0002-7439-0393; Clarke, Michael A.; Cowan, Nicholas
ORCID: https://orcid.org/0000-0002-7473-7916; Cumming, Alexander
ORCID: https://orcid.org/0000-0001-5704-9006; Farrand, Philip; Hitt, Olivia
ORCID: https://orcid.org/0000-0003-3100-4904; Lord, William; Scarlett, Peter; Swain, Oliver; Thornton, Jenna; Warwick, Alan; Winterbourn, Ben
ORCID: https://orcid.org/0000-0002-1318-5281.
2021
COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research.
Earth System Science Data, 13 (4).
1737-1757.
10.5194/essd-13-1737-2021
Pinnington, Ewan ORCID: https://orcid.org/0000-0003-1869-3426; Amezcua, Javier
ORCID: https://orcid.org/0000-0002-4952-8354; Cooper, Elizabeth
ORCID: https://orcid.org/0000-0002-1575-4222; Dadson, Simon
ORCID: https://orcid.org/0000-0002-6144-4639; Ellis, Rich; Peng, Jian; Robinson, Emma
ORCID: https://orcid.org/0000-0002-3746-4517; Morrison, Ross
ORCID: https://orcid.org/0000-0002-1847-3127; Osbourne, Simon; Quaife, Tristan
ORCID: https://orcid.org/0000-0001-6896-4613.
2021
Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data.
Hydrology and Earth System Sciences, 25 (3).
1617-1641.
10.5194/hess-25-1617-2021