Professional summary

Research Interests

My research is mainly about the evolving climate system and trying to help with the effort of determining how this might alter as levels of atmospheric greenhouse gas concentrations rise. One interest at the moment is if a particular part of the Earth system can be described in terms of differential equations, then is there any chance that these equations can be picked apart analytically to tell us details of expected future change? Global Circulation Models (GCMs) provide our best tool to determine expected future alterations to meteorological conditions. However their complexity means in some regards, they are "black boxes" that are difficult to understand in full. A related current interest is how we may be able to re-interpret the CMIP5 database to learn more about robust features across the range of climate models available.

It has been a privilege to work with Oxford University during the COVID19 crisis, to temporarily provide support to the mathematical modelling of virus transmission through this difficult time.

I am a contributing author to Chapter 3 ("Human Influence on Climate") of the 6th UN IPCC climate report.

Below are papers on which I've been a co-author, (or links for ResearcherID, Researchgate here: )



CHESS-SCAPE: high-resolution future projections of multiple climate scenarios for the United Kingdom derived from downscaled United Kingdom Climate Projections 2018 regional climate model output, Robinson, E.L., Huntingford, C., Semeena, V.S. and Bullock, J.M., Earth System Science Data15, 5371-5401, (2023), 

Committed global warming risks triggered multiple climate tipping points, Abrams, J.F., Huntingford, C. et al, Earth's Future11, e2022EF003250, (2023),

Potential impacts of rapidly changing european use of fossil fuels on global warming, Huntingford et al., 5091002 Environmental Research Communications, (2023),

CO2 fertilization contributed more than half of the observed forest biomass increase in northern extra-tropical land, He, Y. et al., Global Change Biology, (2023), 

Autumn canopy senescence has slowed down with global warming since the 1980s in the Northern Hemisphere, Zhang, Y. et al., Communications Earth & Environment4, 173 (2023),  

Emergent constraints for the climate system as effective parameters of bulk differential equations, Huntingford, C. et al., Earth System Dynamics,  433-442 (2023),

Global variations in critical drought thresholds that impact vegetation, Li, X et al., National Science Review, (2023),

Drivers and impacts of Eastern African rainfall variability. Palmer, P.I. et al., Nature Reviews Earth & Environment, (2023),

Seeking more robust early warning signals for climate tipping points: the ratio of spectra method (ROSA). Clarke, J. ., Huntingford, C., Ritchie, P.D.L. and Cox, P.M., 18, Art Num: 035006, Environmental Research Letters, (2023),

The detection and attribution of extreme reductions in vegetation growth across the global land surface. Yang, Y., Munson, S.M., Huntingford, C. et al, Global Change Biology, (2023),

A new precipitation emulator (PREMU v1.0) for lower-complexity models. Liu, G., Peng, S., Huntingford, C. and Xi, Y, Geoscientific Model Development, (2023),


Global water availability boosted by vegetation-driven changes in atmospheric moisture transport. Cui, J., Lian, X., Huntingford, C., Gimeno, L., Wang, T., Ding, J., He, M., Xu, H., Chen, A., Gentine, P. and Piao, S., Nature Geoscience, (2022),

Resilience of UK crop yields to compound climate change. Slater, L.J., Huntingford, C., Pywell, R.F., Redhead, J.W. and Kendon, E.J., Earth System Dynamics, 13 1377-1396 (2022),

Increases in the temperature seasonal cycle indicate long-term drying trends in Amazonia. Ritchie, P.D.L. et al., Communications Earth & Environment, 3 199 (2022),

Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation. Oliver, R.J. et al., Geoscientific Model Development, 15 5567-5592 (2022), 

Amplified warming from physiological responses to carbon dioxide reduces the potential of vegetation for climate change mitigation. He, M., Piao, S., Huntingford, C. et al., Communications Earth & Environment, 3 160 (2022),

Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability. Wang, K. et al., Nature Communications, 13 3469 (2022),

Thawing permafrost as a nitrogen fertiliser: implications for climate feedbacks. Burke, E., Chadburn, S. and Huntingford, C. Nitrogen3, 353-375 (2022), 

Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake. Wu, C., Sitch, S., Huntingford, C., Mercado, L.M. et al Proceedings of the National Academy of Sciences of the United States of America119, e2101186119 (2022), 

The 2021 western North America heat wave among the most extreme events ever recorded globally. Thompson, V., Kennedy-Asser, A.T., Vosper, E., Lo, Y.T.E., Huntingford, C. et al Science Advances, 8, eabm6860 (2022),

Nitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon stores. Huntingford, C., Burke, E.J., Jones, C.D., Jeffers, E.S. and Wiltshire, A.J. Environmental Research Letters, 17, 044072 (2022), 

A New Modelling Approach to Adaptation-Mitigation in the Land System. Maire, J., Alexander, P., Anthoni, P., Huntingford, C., Pugh, T. A. M., Rabin, S., Rounsevell, M., & Arneth, A. (2022). In Climate Adaptation Modelling (Springer Climate (SPCL)). p133-140. Springer.

Impact of merging of historical and future climate data sets on land carbon cycle projections for South America. Huntingford, C., Sitch, S.A. and O'Sullivan, M., Climate Resilience and Sustainability, 1, e24 (2022),


Climate change and Lyme disease. Cox, P., Huntingford, C., Sparey, M. and Nuttall, P. (2021). In Climate, ticks and disease (CABI). p18-25.

Strong direct and indirect influences of climate change on water yield confirmed by the Budyko framework. Yang, H., Xu, H., Huntingford, C., Ciais, P. and Piao, S., Geography and Sustainability, 2, 281-287 (2021), 

Constraints on estimating the CO2 fertilization effect emerge. Huntingford, C. and Oliver, R.J., Nature, 600, 224-225 (2021), (This is a News and Views document)

The Montreal Protocol protects the terrestrial carbon sink. Young, P.J., Harper, A.B., Huntingford, C. et al., Nature596, 384-388 (2021),

Optimal COVID-19 vaccine sharing between two nations that also have extensive travel exchanges. Huntingford, C., Rawson, T. and Bonsall, M.B., Frontiers in Public Health, 9: 633144 (2021),

Vegetation response to rising CO2 amplifies contrasts in water resources between global wet and dry land areas. Cui, J., Yang, H., Huntingford, C., Kooperman, G.J., Lian, X., He, M. and Piao, S, Geophysical Research Letters, 48, e2021GL094293 (2021),

Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements, Harper, A.B. et al., Geoscientific Model Development14, 3269-3294 (2021),

Unusual characteristics of the carbon cycle during the 2015-2016 El Niño. Wang, K. et al., Global Change Biology, (2021),

Emergent constraints on climate sensitivities. Williamson, M.S. et al., Reviews of Modern Physics93, 025004 (2021),

Regional variation in the effectiveness of methane-based and land-based climate mitigation options. Hayman, G.D. et al., Earth System Dynamics 12, 513-544 (2021),

Overshooting tipping point thresholds in a changing climate. Ritchie, P.D.L., Clarke, J.J., Cox, P.M. and Huntingford, C., Nature 592, 517-523 (2021),

The compost bomb instability in the continuum limit. Clarke, J., Huntingford, C., Ritchie, P. and Cox, P., The European Physical Journal (2021), 

Historical and future global burned area with changing climate and human demography. Wu, C., Venevsky, S., Sitch, S., Mercado, L.M., Huntingford, C. and Staver, A.C., One Earth 4, 517-530 (2021),

Multifaceted characteristics of dryland aridity changes in a warming world. Lian, X., Piao, S., Chen, A., Huntingford, C., et al., Nature Reviews Earth & Environment (2021), 

Seasonal biological carryover dominates northern vegetation growth. Lian, X., Piao, S., Chen, A., Wang, K., Li, X., Buermann, W., Huntingford, C., Peñuelas, J., Xu, H. and Myneni, R.B., Nature Communications12, 983 (2021),

Technical note: Low meteorological influence found in 2019 Amazonia fires. Kelley, D.I. et al., Biogeosciences18, 787-804 (2021),

Method uncertainty is essential for reliable confidence statements of precipitation projections. Uhe, P. et al., Journal of Climate34, 1227-1240 (2021),

Converging towards a common representation of large-scale photosynthesis. Huntingford, C. and Oliver, R.J. Global Change Biology , 27, 716-718 (2021),


Temporary "Circuit Breaker" Lockdowns could effectively delay a COVID-19 second wave infection peak to early spring. Rawson, T., Huntingford, C. and Bonsall, M.B., Frontiers in Public Health, (2020),

Vegetation forcing modulates global land monsoon and water resources in a CO2-enriched climate. Cui, J., Piao, S., Huntingford, C., Wang, X., Lian, X., Chevuturi, A., Turner, A.G. and Kooperman, G.J. Nature Communications11, 5184 (2020),

Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system models. Argles, A.P.K. et al., Geoscientific Model Development13, 4067-4089 (2020),

CMIP6 climate models imply high committed warming. Huntingford, C., Williamson, M.S. and Nijsse, F.J.M.M., Climatic Change, 1621515-1520 (2020),

How and when to end the COVID-19 lockdown: an optimization approach. Rawson, T., Brewer, T., Veltcheva, D., Huntingford, C. and Bonsall, M.B., Frontiers in Public Health8, (2020),

Quantifying the controls on evapotranspiration partitioning in the highest alpine meadow ecosystem. Cui, J. et al., Water Resources Research55, (2020),

Validation of demographic equilibrium theory against tree-size distributions and biomass density in Amazonia. Moore, J.R. et al., Biogeosciences17, 1013-1032 (2020),

Summer soil drying exacerbated by earlier spring greening of northern vegetation. Lian, X. et al., Science Advances6, eaax0255 (2020), 


Compensatory climate effects link trends in global runoff to rising atmospheric CO2 concentration. Yang, H. et al., Environmental Research Letters14, 124075 (2019),

Machine learning and artificial intelligence to aid climate change research and preparedness. Huntingford, C. et al., Environmental Research Letters14, 124007 (2019),

Field-experiment constraints on the enhancement of the terrestrial carbon sink by CO2 fertilization. Liu, Y. et al., Nature Geoscience12, 809-814 (2019),

Significant feedbacks of wetland methane release on climate change and the causes of their uncertainty. Gedney, N. et al., Environmental Research Letters14, 084027 (2019),

How can the First ISLSCP Field Experiment contribute to present-day efforts to evaluate water stress in JULESv5.0? Williams, K.E. et al., Geoscientific Model Development12, 3207-3240 (2019),

Decadal global temperature variability increases strongly with climate sensitivity. Nijsse, F.J.M.M. et al., Nature Climate Change9, 598-601 (2019),

The day the 2003 European heatwave record was broken. Mitchell, D et al., The Lancet Planetary Health3, e290-e292 (2019),

Assessing changes in risk of amplified planetary waves in a warming world. Huntingford, C et al., Atmospheric Science Letters20, e929 (2019),

Progressing emergent constraints on future climate change. Hall, A et al., Nature Climate Change9, 269-278 (2019),

Strong but intermittent spatial covariations in tropical land temperature. Yang, H. et al., Geophysical Research Letters46 (2019),


A large committed long-term sink of carbon due to vegetation dynamics. Pugh, T.A.M. et al., Earth's Future6 (2018),

Changing the retention properties of catchments and their influence on runoff under climate change. Yang, H. et al., Environmental Research Letters13, 094019 (2018),

Technical note: A simple theoretical model framework to describe plant stomatal "sluggishness" in response to elevated ozone concentrations. Huntingford, C. et al., Biogeosciences15, 5415-5422 (2018),

Equilibrium forest demography explains the distribution of tree sizes across North America. Moore, J.R. et al., Environmental Research Letters13, 084019 (2018),

Land-use emissions play a critical role in land-based mitigation for Paris climate targets. Harper, A.B. et al., Nature Communications9, 2938 (2018),

Carbon budgets for 1.5 and 2°C targets lowered by natural wetland and permafrost feedbacks. Comyn-Platt, E et al., Nature Geoscience11, 568-573 (2018), 

Partitioning global land evapotranspiration using CMIP5 models constrained by observations. Lian, X et al., Nature Climate Change 8, 640-646 (2018),

Increased importance of methane reduction for a 1.5 degree target. Collins, W.J. et al., Environmental Research Letters 13, 054003 (2018),

Large sensitivity in land carbon storage due to geographical and temporal variation in the thermal response of photosynthetic capacity. Mercado, L.M. et al., New Phytologist 218, 1462-1477 (2018),

CO2 loss by permafrost thawing implies additional emissions reductions to limit warming to 1.5 or 2oC. Burke, E.J. et al., Environmental Research Letters 13, Art 024024 (2018),

Brief communication: Drought likelihood for East Africa. Yang, H. and Huntingford, C., Natural Hazards and Earth System Sciences 18, 491-497 (2018),

Climate pattern-scaling set for an ensemble of 22 GCMs - adding uncertainty to the IMOGEN version 2.0 impact system. Zelazowski, P. et al., Geoscientific Model Development 11, 541-560 (2018),

Emergent constraint on equilibrium climate sensitivity from global temperature variability. Cox, P.M. et al., Nature553, 319-322 (2018),


Implications of improved representations of plant respiration in a changing climate. Huntingford, C. et al., Nature Communications 8 Art: 1602 (2017),

Climate variability: Picking apart climate models. Huntingford, C., Nature Climate Change (2017),

Flexible parameter-sparse global temperature time profiles that stabilise at 1.5 and 2.0ºC. Huntingford, C. et al., Earth System Dynamics 8, 617-626 (2017),

Quantifying uncertainties of permafrost carbon-climate feedbacks. Burke, E.J. et al., Biogeosciences 14, 3051-3066 (2017),

Compensatory water effects link yearly global land CO2 sink changes to temperature. Jung et al., Nature 541, 516-520 (2017),


Reply to Adams et al.: Empirical versus process-based approaches to modeling temperature responses of leaf respiration. Heskel et al., Proc Nat Academy Sciences 113, E5996-E5997 (2016),

High chance that current atmospheric greenhouse concentrations commit to warmings greater than 1.5oC over land. Huntingford, C and Mercado, L.M., Scientific Reports 6, 30294,

Attributing human mortality during extreme heat waves to anthropogenic climate change. Mitchell, D et al., Environmental Research Letters 11, Art Num 074006 (2016),

Spatial and temporal variations in plant water-use efficiency inferred from tree-ring, eddy covariance and atmospheric observations. Dekker, S.C. et al., Earth System Dynamics 7, 525-533 (2016),

The dry season intensity as a key driver of NPP trends. Murray-Tortarolo, G et al., Geophysical Research Letters 43, 2632-2639 (2016),

Convergence in the temperature response of leaf respiration across biomes and plant functional types. Heskel, M.A. et al., Proc Nat Academy Sciences 113, 3832-3837 (2016),

Human influence on climate in the 2014 southern England winter floods and their impacts. Schaller, N. et al., Nature Climate Change, 6627-634 (2016),

The impacts of climate change across the global: A multi-sectoral assessment. Arnell, N.W. et al., Climatic Change134, 457-474 (2016),

Global-scale climate impact functions: the relationship between climate forcing and impact. Arnell, N.W. et al., Climatic Change, 134, 475-487 (2016),


More frequent moments in the climate change debate as emissions continue. Huntingford, C. and Friedlingstein, P. Environmental Research Letters 10  Art Num 121001 (2015)

Catalogue of abrupt shifts in Intergovernmental Panel on Climate Change climate models. Drijfhout et al, Proc. Nat. Acad. Sciences (2015),

Integrating effects of climate change and habitat fragmentation on drought-sensitive butterflies. Oliver et al., Nature Climate Change (2015),

Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models. Yang, H. et al., J Geophys. Res. Atmos120, (2015).

The implications of carbon dioxide and methane exchange for the heavy mitigation RCP2.6 scenario under two metrics. Huntingford, C. et al,. Environmental Science and Policy51, p77-87, (2015).

Reply to 'Driver of the 2013/14 winter floods in the UK'. Huntingford, C. et al. Nature Climate Change5, p491-492, (2015).

Water-use efficiency and transpiration across European forests during the anthropocene. Frank, D.C. et al., Nature Climate Change5, p579-583 (2015).

Global variability in leaf respiration in relation to climate, plant functional types and leaf traits. Atkin, O.K. et al., New Phytologist206, p614-636 (2015). 

Combining the [ABA] and net photosynthesis-based model equations of stomatal conductance. Huntingford, C. et al., Ecological Modelling300, p81-88 (2015).

Recent trends and drivers of regional sources and sinks of carbon dioxide. Sitch, S. et al. Biogeosciences12, p653-679 (2015).

Benchmarking the seasonal cycle of CO2 fluxes simulated by terrestrial ecosystem models. Peng, S.S. et al. Global Biogeochemical Cycles29, p46-64 (2015). 


Increasing the detectability of external influence on precipitation by correcting feature location in GCMs. Levy, A.A.L, Jenkinson, M., Ingram, W., Lambert, F.H., Huntingford, C. and Allen, M. J Geophysical Research - Atmospheres119, p12466-12478, (2014).

Detection of solar dimming and brightening effects on Northern Hemisphere river flow. Gedney, N., Huntingford C., Weedon, G.P., Bellouin, N., Boucher, O. and Cox, P.M. Nature Geoscience7, p796-800, (2014).

Evidence for a weakening relationship between interannual temperature variability and northern latitude vegetation activity. Piao, S.L. et al. Nature Communications5, (2014).

Potential influences on the United Kingdom's floods of winter 2013/14. Huntingford, C. et al. Nature Climate Change4, p769-777 (2014).

Comprehensive ecosystem model-data synthesis using multiple data sets at two temperate forest free-air CO2 enrichment experiments: Model performance at ambient CO2 concentration. Walker, A.P. et al., J Geophysical Research-Biogeosciences119, p937-964 (2014). 

Sensitivity of climate change detection and attribution to the characteriszation of internal climate variability. Imbers, J., Lopez, A., Huntingford, C. and Allen, M. J of Climate27, p3477-3491 (2014).

Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data. Hayman, G.D. et al,. Atmospheric Chemistry and Physics14, p13257-13280 (2014).

Carbon cycle uncertainty in the Alaskan Arctic. Fisher, J.B. et al,. Biogeosciences11, p4271-4288 (2014).

Complexity amd determining dangerous levels of climate impacts. Huntingford, C. Environmental Research Latters9, Art: 011001 (2014).


No increase in global temperature variability despite changing regional patterns. Chris Huntingford, Philip D Jones, Valerie N Livinia, Timothy M Lenton, Peter M Cox. Nature, 500, p327-+ (2013).

Climate projection: Refining global warming projections. Chris Huntingford. Nature Climate Change8, p704-705 (2013).

Simulated resilience of tropical rainforests to CO2-induced climate change. Chris Huntingford et al, Nature Geoscience 6, p268-273. (2013).

Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability. Peter M Cox, David Pearson, Ben B Booth, Pierre Friedlingstein, Chris Huntingford, Chris D Jones & Catherine M Luke. Nature 494, p341-344 (2013).

The role of short-lived climate pollutants in meeting temperature goals. Bowerman, Niel H. A.; Frame, David J.; Huntingford, Chris; et al. Nature Climate Change 12, p1021-1024, (2013).

Earth Science: The timing of climate change. Huntingford. C., Mercado, L. and Post, E. Nature502, p174-175, (2013).

African tropical rainforest net carbon dioxide fluxes in the twentieth century. Fisher, J.B. et al. Phil Trans Roy Soc B368 (2013).

Explaining extreme events of 2012 from a climate perspective. Peterson, T.C. et al. Bulletin of the American Meteorological Society94, pS1-S74 (2013).

Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends. Piao et al., Global Change Biology19, p2117-2132 (2013). 

Testing the robustness of the anthropogenic climate change detection statements using different empirical models. Imbers, J., Lopez, A., Huntingford, C. and Allen, M.R. J Geophysical Research-Atmospheres118, p3192-3199 (2013).

Can correcting feature location in simulated mean climate improve agreement on projected changes? Levy, A.A.L et al. Geophysical Research Letters40, p354-358 (2013).

Allowable carbon emissions for medium-to-high mitigation scenarios. Tachiiri et al. Tellus Series B - Chemical and Physical Meteorology65, (2013).

The global carbon budget 1959-2011. LeQuere et al. Earth System Science Data5, p165-185 (2013).


Equivalence of greenhouse-gas emissions for peak temperature limits. Stephen M Smith, Jason A Lowe, Niel H A Bowerman, Laila K Gohar, Chris Huntingford & Myles R Allen. Nature Climate Change 2 p535-538 (2012).

The link between a global 2°C warming threshold and emissions in years 2020, 2050 and beyond. Chris Huntingford, Jason A. Lowe, Laila K. Gohar, Niel H.A. Bowerman, Myles R. Allen, Sarah C.B. Raper and Stephen M. Smith. Environ. Res. Lett7 (2012) 014039 (8pp).

High sensitivity of future global warming to land carbon cycle processes. Ben Booth, Chris D Jones, Mat Collins, Ian J Totterdell, Peter M Cox, Stephen Sitch, Chris Huntingford, Richard A Betts, Glen R Harris and Jon Lloyd. Environ. Res Lett7 (2012) 024002 (8pp).

Model complexity versus ensemble size: allocating resources for climate prediction. Christopher A. T. Ferro, Tim E. Jupp, F. Hugo Lambert, Chris Huntingford and Peter M. Cox. Phil. Trans. R. Soc. A 370, p1087-1099 (2012).


The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics. D.B. Clark, L.M. Mercado, S.Sitch, C.D. Jones, N.Gedney, M.J. Best, M. Pryor, G.G. Rooney, R.L.H. Essery, E. Blyth, O. Boucher, R.J. Harding, C. Huntingford, and P.M. Cox. Geosci. Model Dev., 4, p701–722 (2011).

Highly contrasting effects of different climate forcing agents on terrestrial ecosystem services.
C. Huntingford, P. M. Cox, L. M. Mercado, S. Sitch, N. Bellouin, O. Boucher and N. Gedney. Phil. Trans. R. Soc. A 369, 2026-2037 (2011).

Cumulative carbon emissions, emissions floors and short-term rates of warming: implications for policy. Bowerman, N.H.A., Frame, D.J., Huntingford, C., Lowe, J.A. and Allen, M.R. Phil. Trans. R. Soc. A369, p45-66 (2010).

Trends in the sources and sinks of carbon dioxide. Le Quere, C., Raupach, M.R., Canadell, J.G. et al. Nature Geoscience2, p831-836 (Dec 2009) 

Quantifying environmental drivers of future tropical forest extent. Good, Peter, Jones, Chris, Lowe, Jason, Betts, Richard, Booth, Ben, Huntingford, Chris. Journal of Climate24, Issue , p1337 -1349 (2011).

Changes in the potential distribution of humid tropical forests. Zelazowski, P., Mahli, Y., Huntingford, C., Sitch, S. and Fisher, J.B. Phil. Trans. of the R. Soc. A369, p137-160 (2011).


Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change. Galbraith, D., Levy, P.E., Sitch, S., Huntingford, C., Cox, P., Williams, M. and Meir, P. New Phytologist187, p647-665 (2010).

IMOGEN: an intermediate complexity model to evaluate terrestrial impacts of a changing climate. C. Huntingford, B. B. B. Booth, S. Sitch, N. Gedney, J. A. Lowe, S. K. Liddicoat, L. M. Mercado, M. J. Best, G. P.Weedon, R. A. Fisher, M. R. Lomas, P. Good, P. Zelazowski, A. C. Everitt, A. C. Spessa, and C. D. Jones. Geoscientific Model Development3, p679-687 (2010).

Assessing uncertainties in a second-generation dynamic vegetation model caused by ecological scale limitations. Fisher, R., McDowell, N., Purves, D., Moorcroft, P., Sitch, S., Cox, P., Huntingford, C., Meir, P. and Woodward, F.I. New Phytologist187, 666-681 (2010).

Carbon cost of plant nitrogen acquisition: A mechanistic, globally applicable model of plant nitrogen uptake, retranslocation, and fixation. Fisher, J.B., Sitch, S., Malhi, Y., Fisher, R.A., Huntingford, C. and Tan, S.Y. Global Biogeochemical Cycles24, GB1014, (2010).

Hughes, J.K., Lloyd, A.J., Huntingford, C. et al. The impact of extensive planting of Miscanthus as an energy crop on future CO2 atmospheric concentrations. Source: Global Change Biology Bioenergy2, p79-88 (2010).


Warming caused by cumulative carbon emissions towards the trillionth tonne. Allen, M. R., Frame, D. J, Huntingford, C., Jones, C.D., Lowe, J.A., Meinshausen, M. and Meinschausen, N. Nature 458, p1163-1166 (2009)

Contributions of carbon cycle uncertainty to future climate projection spread. Huntingford, C.., Lowe, J.A., Booth, B.B.B. et al. Tellus Series B - Chemical and Physical Meteorology61, p355-360 (2009).

How difficult is it to recover from dangerous levels of global warming? Lowe, J.A., Huntingford, C., Raper, S.C.B., Jones, C.D., Liddicoat, S.K., Gohar, L.K. Environ. Res. Lett4 014012 (2009).

Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Malhi, Y., Aragao L.E.O.C., Galbraith, D., Huntingford, C., Fisher, R., Zelazowski, P., Sitch, S., McSweeney, C. and Meir, P. Proceedings of the National Academy of Sciences of the United States of America106, (2009).

Impact of changes in diffuse radiation on the global land carbon sink. Mercado, L. M., Bellouin, N., Sitch, S. et al. Nature 458 (2009).


What do recent advances in quantifying climate and carbon cycle uncertainties mean for climate policy? House, J.I., Huntingford, C., Knorr, W. et al. Environmental Research Letters3, Art. 044002 (2008).

Observed climate change constrains the likelihood of extreme future global warming. Stott, P.A., Huntingford, C., Jones, C.D. et al. Tellus Series B-Chemical and Physical Meteorology60, p76-81 (2008). http://dx/

Amazon Basin climate under global warming: the role of the sea surface temperature. Harris, P.P., Huntingford, C., Cox, P.M. Phil. Trans. of the R.l Soc. B-Biological Sciences363, p1753-1759 (2008).

Towards quantifying uncertainty in predictions of Amazon “dieback”. Huntingford , C., Fisher, R.A., Mercado, L. et al. Phil. Trans. of the R. Soc. B-Biological Sciences, Volume 363, Issue 1498, Pages 1857-1864 (2008).

Increasing risk of Amazonian drought due to decreasing aerosol pollution. Cox, P.M., Harris, P.P., Huntingford, C., et al. Nature453, p212-U7 (2008).

Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs). Sitch, S., Huntingford, C., Gedney, N. et al. Global Change Biology14, p2015-2039 (2008).

Climate change: Seeking balance in media reports. Huntingford, C., Fowler, D. Environmental Research Letters3, (2008).


"Overshoot" scenarios and climate change.
Huntingford, C., Lowe, J. Science316, p829-829, (2007).

Climate-carbon cycle feedbacks under stabilization: uncertainty and observational constraints. Jones, C.D., Cox, P.M., Huntingford, C. Tellus Series B-Chemical and Physical Meteorology58, p603-613, (Nov 2006).

Projected increase in continental runoff due to plant responses to increasing carbon dioxide. Betts, R.A., Boucher, O., Collins, M. et al. Nature448, p1037-U5 (2007).

On the robustness of changes in extreme precipitation over Europe from two high resolution climate change simulations. Buonomo, E., Jones, R., Huntingford, C. et al. Quarterly Journal of the Royal Meteorological Society133, p65-81 (Jan 2007).

Improving the representation of radiation interception and photosynthesis for climate model applications. Mercado, L.M., Huntingford, C., Gash, J.H.C. et al. Tellus Series B-Chemical and Physical Meteorological59, p553-565 (2007).

Indirect radiative forcing of climate change through ozone effects on the land-carbon sink. Sitch, S., Cox, P.M., Collins, W.J. et al. Nature448, p791-U4 (2007).

Impact of climate change on health: what is required of climate modellers? Huntingford, C., Hemming, D., Gash, J.H.C. et al. Trans. of the Roy. Soc. of Tropical Medicine and Hygiene101, p97-103 (Feb 2007). doi: 10.1016/j.trstmh.2006.11.001


Incorporating model uncertainty into attribution of observed temperature change. Huntingford, C., Stott, P.A., Allen, M.R. et al. Geophysical Research Letters33, (2006).

Detection of a direct carbon dioxide effect in continental river runoff records. Gedney, N., Cox, P.M., Betts, R.A. et al. Nature439, 835-838 (2006).

Continental runoff - A quality-controlled global runoff data set - Reply. Gedney, N., Cox, P.M., Betts, R.A. et al. Nature444, pE14-E15 (2006).

Evaluation of the rainfall component of a weather generator for climate impact studies. Elshamy, M.E., Wheater, H.S., Gedney, N. et al. Journal of Hydrology326, p1-24 (Jul 2006).

Climate change and hydrology: next steps for climate models. Huntingford, C., Gash, J., Giacomello, A.M. Hydrological Processes, 20, p2085-2087 (Jun 2006).


Attribution studies of observed land precipitation changes with nine coupled models. Lambert, F.H., Gillett, N.P., Stone, D.A. et al. Geophysical Research Letters32, (2005).

Aspects of climate change prediction relevant to crop productivity. Huntingford, C., Lambert, F.H., Gash, J.H.C. et al. Phil. Trans. of the Roy. Soc. B-Biological Sciences360, p1999-2009 (2005).

Climate equity for all. Author(s): Huntingford, C., Gash, J. Science309, p1789-1789 (2005).

Combining a regional climate model with a phytoplankton community model to predict future changes in phytoplankton in lakes. Elliott, J.A., Thackeray, S.J., Huntingford, C. et al. Freshwater Biology50, p1404-1411 (2005).

Modelling long-term transpiration measurements from grassland in southern England. Harding, R.J., Huntingford, C., Cox, P.M. Agricultural and Forest Meteorology100, p309-322 (2005).


Preface. Gash, J.H.C., Marengo, J.A., Huntingford, C. Theoretical and Applied Climatology78, p3-3 (2004).

Calibration of a land-surface model using data from primary forest sites in Amazonia. Harris, P.P., Huntingford, C., Gash, J.H.C. et al. Theoretical and Applied Climatology78, p27-45 (2004).

Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Cox, P.M., Betts, R.A., Collins, M. et al. Theoretical and Applied Climatology78, p137-156, (2004).

The role of ecosystem-atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming. Betts, R.A, COX, P.M., Collins, M. et al. Theoretical and Applied Climatology78, 157-175 (2004).

Using a GCM analogue model to investigate the potential for Amazonian forest dieback. Huntingford, C., Harris, P.P., Gedney, N., et al. Theoretical and Applied Climatology78, p177-185 (2004).

Amazonian climate: results and future research. Gash, J.H.C., Huntingford, C., Marengo, J.A. et al. Theoretical and Applied Climatology78, p187-193 (2004).

Effect of soil moisture on canopy conductance of Amazonian rainforest. Harris, P.P., Huntingford, C., Cox, P.M. et al. Agricultural and Forest Meteorology122, 215-227 (2004).

Climate feedback from wetland methane emissions. Gedney, N., Cox, P.M., Huntingford, C. Geophysical Research Letters31, (2004).


Regional climate-model predictions of extreme rainfall for a changing climate. Huntingford, C., Jones, R.G., Prudhomme, C. et al. Quarterly Journal of the Royal Meteorological Society129, 1607-1621 (2003).

Extent of partial ice cover due to carbon cycle feedback in a zonal energy balance model. Huntingford, C., Hargreaves, J.C., Lenton, T.M. et al. Hydrology and Earth System Sciences7, 213-219, (2003).

Global terrestrial carbon storage and uncertainties in its temperature sensitivity examined with a simple model. Lenton, T.M., Huntingford, C. Global Change Biology9, 1333-1352 (2003).

Uncertainty in climate-carbon-cycle projections associated with the sensitivity of soil respiration to temperature. Jones, C.D., Cox, P., Huntingford, C. Tellus Series B-Chemical and Physical Meteorology55, p642-648 (2003).

Improved description of soil hydraulic and thermal properties of arctic peatland for use in a GCM. Hall, R.L., Huntingford, C., Harding, R.J. et al. Hydrological Processes17, p2611-2628 (2003).


An analogue model to derive additional climate change scenarios from existing GCM simulations. Huntingford, C., Cox, P.M. Climate Dynamics16, p575-586 (2000).

Contrasting responses of a simple terrestrial ecosystem model to global change. Huntingford, C., Cox, P.M, Lenton, T.M. Ecological Modelling134, p41-58 (2000).

Dual versus single source models for estimating surface temperature of African savannah. Huntingford, C., Verhoef, A., Stewart, J. Hydrology and Earth System Sciences4, Issue 1, p185-191 (Mar 2000).


A canopy conductance and photosynthesis model for use in a GCM land surface scheme. Cox, P.M., Huntingford, C., Harding, R.J. Journal of Hydrology213, 79-94 (1998).

The behaviour of a mixed-layer model of the convective boundary layer coupled to a big leaf model of surface energy partitioning. Huntingford, C., Monteith, J.L. Source: Boundary Layer Meteorology, 88, 87-101 (1998).

The effect of orography on evaporation. Huntingford, C., Blyth, E.M., Wood, N. et al. Boundary Layer Meteorology86, 487-504 (1998).

An argument for the use of two-layer SVAT schemes to simulate terrestrial carbon dioxide fluxes. Huntingford, C., Hall, R.L., Verhoef, A. Hydrology and Earth System Sciences2, p299-302 (1998).


Use of statistical and neural network techniques to detect how stomatal conductance responds to changes in the local environment. Huntingford, C., Cox, P.M. Ecological Modelling97, p217-246 (1997).


A note on the similarity groups of the Penman-Monteith Big Leaf Model. Huntingford, C. Boundary Layer Meteorology, 79, p307-312 (1996).

An intercomparison of single and dual-source vegetation-atmosphere transfer models applied to transpiration from Sahelian savannah (Correction Volume 74, p397, 1995). Huntingford, C., Allen, S.J., Harding, R.J. Boundary Layer Meteorology77, p101-101 (1996).


An intercomparison of single and dual-source vegetation-atmosphere transfer models applied to transpiration from Sahelian savanna. Huntingford, C., Allen, S.J., Harding, R.J. Boundary-Layer Meteorology74, p397-418 (1995).

Non-Dimensionalisation of the Penman-Monteith model. Huntingford, C. Journal of Hydrology170, p215-232 (1995).

An exact solution to the one-phase zero-surface-tension Hele-Shaw free-boundary problem. Huntingford, C. Computers & Mathematics with Applications29, p45-50 (1995).


A model for nonsmooth free boundaries in Hele-Shaw flows. Hohlov, Y.E., Howison, S.D., Huntingford, C. Et al. Quarterly Journal of Mechanics and Applied Mathematics47, p107-128 (1994).


Brief CV

My background is as a mathematician, with an MA in Mathematics (Cambridge), and MSc in Mathematical Modelling and Numerical Analysis (Oxford) followed by the DPhil in Fluid Dynamics (Oxford). I then joined CEH in 1993, and have worked here ever since, along with maintaining on-going visiting scientist status at the AOPP and OUCE departments of Oxford University.