Karina E. Williams

发表

Sources of interannual yield variability in JULES-crop and implications for forcing with seasonal weather forecasts

Karina E. Williams, P. Falloon, 2015 .

The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0)

C. Müller, P. Ciais, S. Olin, 2020, Geoscientific Model Development.

JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator

R. Betts, J. Gornall, A. Wiltshire, 2014 .

Prediction of Evapotranspiration and Yields of Maize: An Inter-comparison among 29 Maize Models

Fulu Tao, Amit Kumar Srivastava, Bruno Basso, 2016 .

Simulation of maize evapotranspiration: An inter-comparison among 29 maize models

Fulu Tao, Claas Nendel, Amit Kumar Srivastava, 2019, Agricultural and Forest Meteorology.

Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand?

H. Tian, Jinfeng Chang, P. Ciais, 2020, Global change biology.

Vegetation distribution and terrestrial carbon cycle in a carbon cycle configuration of JULES4.6 with new plant functional types

P. Cox, P. Friedlingstein, C. Jones, 2018, Geoscientific Model Development.

Skillful seasonal prediction of key carbon cycle components: NPP and fire risk

A. Scaife, A. Wiltshire, P. Bett, 2020 .

The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0)

C. Müller, S. Olin, J. Elliott, 2020 .

The GGCMI phase II emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0)

C. Müller, S. Olin, J. Elliott, 2020 .

Assessing Skill for Impacts in Seasonal to Decadal Climate Forecasts

R. Betts, R. Graham, M. Vellinga, 2013 .

Supplementary material to "The GGCMI Phase II experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0)"

C. Müller, P. Ciais, S. Olin, 2019 .

Supplementary material to "Improvement of modelling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements"

I. Mammarella, K. Fuchs, L. Merbold, 2020 .

Skillful seasonal prediction of key carbon cycle components: NPP and fire risk

Adam A. Scaife, A. Scaife, A. Wiltshire, 2019, Environmental Research Communications.

Rainfallmanipulation experiments as simulated by terrestrial biosphere models: where do we stand?

Shi, H. Tian, Jinfeng Chang, 2019 .

An ensemble climate projection for Africa

Richard G. Jones, C. Buontempo, C. Mathison, 2015, Climate Dynamics.

Calibrating soybean parameters in JULES 5.0 from the US-Ne2/3 FLUXNET sites and the SoyFACE-O3 experiment

T. Arkebauer, S. Sitch, J. Gornall, 2020, Geoscientific Model Development.

Calibrating soybean parameters in JULES5.0 from the US-Ne2/3 FLUXNET sites and the SoyFACE-O3 experiment

T. Arkebauer, S. Sitch, J. Gornall, 2020 .

Interactive comment on “ Revisiting the First ISLSCP Field Experiment to evaluate water stress in JULESv 5 . 0 ” by Karina E

Karina E. Williams, 2018 .

Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements

I. Mammarella, K. Fuchs, L. Merbold, 2020, Geoscientific Model Development.

Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate

P. Cox, K. Fuchs, Maurizio Mencuccini, 2020, The New phytologist.

How can the First ISLSCP Field Experiment contribute to present-day efforts to evaluate water stress in JULESv5.0?

P. Cox, C. Huntingford, Joonpyo Kim, 2019, Geoscientific Model Development.

Revisiting the First ISLSCP Field Experiment to evaluate water stress in JULESv5.0

P. Cox, C. Huntingford, Joonpyo Kim, 2018 .

The impact of a simple representation of non-structural carbohydrates on the simulated response of tropical forests to drought

P. Cox, Maurizio Mencuccini, P. Meir, 2019, Biogeosciences.

Implementation of sequential cropping into JULESvn5.2 land-surface model

A. Challinor, S. Garrigues, A. Wiltshire, 2021, Geoscientific Model Development.

Developing a sequential cropping capability in the JULESvn5.2 land–surface model

Sophie Moulin, Chetan Deva, Andrew J. Challinor, 2019 .

DEVELOPING A REGIONAL METHODOLOGY FOR CLIMATE ADAPTATION IN THE NILE BASIN

C. Buontempo, M. Butts, J. K. Lorup, 2013 .

Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios

S. Olin, J. Elliott, A. Ruane, 2021, Environmental Research Letters.

Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska

Tristan Quaife, Andy Wiltshire, David Scoby, 2016 .

Large Variability in Simulated Response of Vegetation Composition and Carbon Dynamics to Variations in Drought‐Heat Occurrence

F. Joos, S. Lienert, S. Zaehle, 2023, Journal of Geophysical Research: Biogeosciences.

Importance of including soil moisture in drought monitoring over the Brazilian semiarid region: An evaluation using the JULES model, in situ observations, and remote sensing

J. Marengo, E. Blyth, M. Zeri, 2021, Climate Resilience and Sustainability.

Simulation of evapotranspiration and yield of maize: An Inter-comparison among 41 maize models

K. S. Copeland, Tobias K. D. Weber, G. Hoogenboom, 2023, Agricultural and Forest Meteorology.

Description and evaluation of the JULES-ES set-up for ISIMIP2b

C. Jones, D. Kelley, A. Hartley, 2023, Geoscientific Model Development.

Will Fire Danger Be Reduced by Using Solar Radiation Management to Limit Global Warming to 1.5 °C Compared to 2.0 °C?

R. Betts, C. Jones, Karina E. Williams, 2018 .

Developing a sequential cropping capability in the JULESvn5.2 land–surface model

A. Challinor, S. Garrigues, A. Wiltshire, 2019 .

Simulation of soil temperature under maize: An inter-comparison among 33 maize models

K. S. Copeland, S. Evett, P. Colaizzi, 2024, Agricultural and Forest Meteorology.