Zobrazeno 1 - 10
of 131
pro vyhledávání: '"T. Quaife"'
Publikováno v:
Earth System Dynamics, Vol 15, Pp 1019-1035 (2024)
Correctly representing the response of vegetation productivity to water availability in Earth system models (ESMs) is essential for accurately modelling the terrestrial carbon cycle and the evolution of the climate system. Previous studies evaluating
Externí odkaz:
https://doaj.org/article/70ad6948b5854dcaabd663083b7dafd9
Autor:
L. de Mora, R. Swaminathan, R. P. Allan, J. C. Blackford, D. I. Kelley, P. Harris, C. D. Jones, C. G. Jones, S. Liddicoat, R. J. Parker, T. Quaife, J. Walton, A. Yool
Publikováno v:
Earth System Dynamics, Vol 14, Pp 1295-1315 (2023)
We show that the distribution of anthropogenic carbon between the atmosphere, land surface, and ocean differs with the choice of projection scenario even for identical changes in mean global surface temperature. Warming thresholds occur later in lowe
Externí odkaz:
https://doaj.org/article/e81517977d1c475499fbc357807413a2
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 1723-1744 (2023)
Quantifying regional water and energy fluxes much more accurately from observations is essential for assessing the capability of climate and Earth system models and their ability to simulate future change. This study uses satellite observations to pr
Externí odkaz:
https://doaj.org/article/a568f70e5bf640bca392350c9817e92f
Autor:
E. Pinnington, J. Amezcua, E. Cooper, S. Dadson, R. Ellis, J. Peng, E. Robinson, R. Morrison, S. Osborne, T. Quaife
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 1617-1641 (2021)
Pedotransfer functions are used to relate gridded databases of soil texture information to the soil hydraulic and thermal parameters of land surface models. The parameters within these pedotransfer functions are uncertain and calibrated through analy
Externí odkaz:
https://doaj.org/article/a240f91604944e20bd26a4951c3a8f19
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 55-69 (2020)
The Land Variational Ensemble Data Assimilation Framework (LAVENDAR) implements the method of four-dimensional ensemble variational (4D-En-Var) data assimilation (DA) for land surface models. Four-dimensional ensemble variational data assimilation ne
Externí odkaz:
https://doaj.org/article/5b8f80d31d0e4a3bbd73c66ad34efeee
Autor:
D. Asfaw, E. Black, M. Brown, K. J. Nicklin, F. Otu-Larbi, E. Pinnington, A. Challinor, R. Maidment, T. Quaife
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 2353-2371 (2018)
Early warning of weather-related hazards enables farmers, policy makers and aid agencies to mitigate their exposure to risk. We present a new operational framework, Tropical Applications of Meteorology using SATellite data and ground based measure
Externí odkaz:
https://doaj.org/article/cd7c2c19eadc4bed8d5e70c9d32da1c7
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 2575-2588 (2018)
We show that satellite-derived estimates of shallow soil moisture can be used to calibrate a land surface model at the regional scale in Ghana, using data assimilation techniques. The modified calibration significantly improves model estimation of s
Externí odkaz:
https://doaj.org/article/7b8b78cb0d7a476f8b677d1af43b0e42
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 339-350 (2018)
A fast scheme is described to compute the 3-D interaction of solar radiation with vegetation canopies. The canopy is split in the horizontal plane into one clear region and one or more vegetated regions, and the two-stream equations are used for e
Externí odkaz:
https://doaj.org/article/f4187da601864b8591c4ada4d32816bf
Autor:
K. Williams, J. Gornall, A. Harper, A. Wiltshire, D. Hemming, T. Quaife, T. Arkebauer, D. Scoby
Publikováno v:
Geoscientific Model Development, Vol 10, Iss 3, Pp 1291-1320 (2017)
The JULES-crop model (Osborne et al., 2015) is a parametrisation of crops within the Joint UK Land Environment Simulator (JULES), which aims to simulate both the impact of weather and climate on crop productivity and the impact of croplands on weathe
Externí odkaz:
https://doaj.org/article/416b5137c47c43928fc4a1d6ba086bff
Publikováno v:
Biogeosciences, Vol 11, Iss 7, Pp 1873-1897 (2014)
Dynamic global vegetation models (DGVMs) are an essential part of current state-of-the-art Earth system models. In recent years, the complexity of DGVMs has increased by incorporating new important processes like, e.g., nutrient cycling and land cove
Externí odkaz:
https://doaj.org/article/dd0b3874ff304abeb48d54ac4aa4a2fb