Our People
Prof Tristan Quaife
Professor of Climate Science
Data Assimilation
Research interests
I work at the interface of Earth system models and observations, with a focus on the terrestrial carbon cycle. This encompasses Data Assimilation, vegetation canopy radiative transfer, and model development to improve our understanding of the state of the terrestrial biosphere.
Recent publications
Strong relation between atmospheric CO2 growth rate and terrestrial water storage in tropical forests on interannual timescales. 2024-12-05
DOI: https://doi.org/10.22541/essoar.173343481.12875858/v1
A Two-Stream Observation Operator for Solar Induced Fluorescence in Land Surface Models. 2024-11-27
DOI: https://doi.org/10.5194/egusphere-egu24-3833
The impact of forest canopy structure on modelled photosynthesis. 2024-11-27
DOI: https://doi.org/10.5194/egusphere-egu24-5471
A Flexible Snow Model (FSM 2.1.0) including a forest canopy. 2024-10-11
DOI: https://doi.org/10.5194/egusphere-2024-2546
Parameter Estimation in Land Surface Models: Challenges and Opportunities with Data Assimilation and Machine Learning. 2024-10-08
DOI: https://doi.org/10.22541/essoar.172838640.01153603/v1
Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models. 2024-08-06
DOI: https://doi.org/10.5194/esd-15-1019-2024
Strong relation between atmospheric CO2 growth rate and terrestrial water storage in tropical forests on interannual timescales. 2024-07-18
DOI: https://doi.org/10.22541/essoar.172132358.83519012/v1
A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1.0. 2024-07-16
DOI: https://doi.org/10.5194/egusphere-2024-1534
Supplementary material to “A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1.0”. 2024-07-16
DOI: https://doi.org/10.5194/egusphere-2024-1534-supplement
A Machine Learning Framework to Evaluate Vegetation Modeling in Earth System Models. 2024-07
DOI: https://doi.org/10.1029/2023MS004097
Uniform upscaling techniques for eddy covariance FLUXes (UFLUX). 2024-03-03
DOI: https://doi.org/10.1080/01431161.2024.2312266
Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth System Models. 2024-01-19
DOI: https://doi.org/10.5194/esd-2024-2
Supplementary material to “Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth System Models”. 2024-01-19
DOI: https://doi.org/10.5194/esd-2024-2-supplement
Scenario choice impacts carbon allocation projection at global warming levels. 2023-12-13
DOI: http://dx.doi.org/10.5194/esd-14-1295-2023
Evaluating Vegetation Modeling in Earth System Models with Machine Learning Approaches. 2023-11-20
DOI: https://doi.org/10.22541/essoar.170049918.89868321/v1
Eddy covariance fluxes over managed ecosystems extrapolated to field scales at fine spatial resolutions. 2023-11
DOI: http://dx.doi.org/10.1016/j.agrformet.2023.109675
Mapping and monitoring peatland conditions from global to field scale. 2023-10-10
DOI: http://dx.doi.org/10.1007/s10533-023-01084-1
Precipitation explains GRACE water storage variability over large endorheic basins in the 21st century. 2023-08-07
DOI: http://dx.doi.org/10.3389/fenvs.2023.1228998
Farmers’ attitudes towards, and intentions to adopt, agroforestry on farms in lowland South-East and East England. 2023-08
DOI: http://dx.doi.org/10.1016/j.landusepol.2023.106668
Contrasting responses of vegetation to intraseasonal rainfall in Earth System Models. 2023-05-15
DOI: https://doi.org/10.5194/egusphere-egu23-8013
Evaluating Vegetation Modelling in Earth System Models with Machine Learning Approaches. 2023-05-15
DOI: https://doi.org/10.5194/egusphere-egu23-3457
Water and Energy budgets on short and long timescales. 2023-05-15
DOI: https://doi.org/10.5194/egusphere-egu23-3327
Water and energy budgets over hydrological basins on short and long timescales. 2023-05-03
DOI: https://doi.org/10.5194/hess-27-1723-2023
Potential for Peatland Water Table Depth Monitoring Using Sentinel-1 SAR Backscatter: Case Study of Forsinard Flows, Scotland, UK. 2023-03-31
DOI: https://doi.org/10.3390/rs15071900
Towards a Digital Twin of the Carbon Cycle in Europe. 2023-02-26
DOI: https://doi.org/10.5194/egusphere-egu23-15455
Water and Energy budgets over hydrological basins on short and long timescales. 2022-12-15
DOI: http://dx.doi.org/10.5194/egusphere-2022-1237
Synergistic retrievals of leaf area index and soil moisture from Sentinel-1 and Sentinel-2. 2022-12-01
DOI: http://dx.doi.org/10.1080/19479832.2022.2149629
An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space. 2022-11
DOI: http://dx.doi.org/10.1029/2022ms003259
High resolution C-band SAR backscatter response to peatland water table depth and soil moisture: a laboratory experiment. 2022-07-18
DOI: http://dx.doi.org/10.1080/01431161.2022.2131478
Building a Land Data Assimilation Community to Tackle Technical Challenges in Quantifying and Reducing Uncertainty in Land Model Predictions. 2022-03
DOI: http://dx.doi.org/10.1175/bams-d-21-0228.1
The Physical Climate at Global Warming Thresholds as Seen in the U.K. Earth System Model. 2022
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85120056184&partnerID=MN8TOARS
Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data. 2021-03-31
DOI: http://dx.doi.org/10.5194/hess-25-1617-2021
Using different solutions for radiative transfer of solar-induced fluorescence in a land surface model. 2021-03-04
DOI: https://doi.org/10.5194/egusphere-egu21-8316
Assessing the reliability of peatland GPP measurements by remote sensing: From plot to landscape scale. 2021
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85093698680&partnerID=MN8TOARS
Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data-model integration. 2021
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85097018637&partnerID=MN8TOARS
Forest responses to last-millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity. 2021
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85098516423&partnerID=MN8TOARS
Reviewer comment. 2020-11-16
DOI: https://doi.org/10.5194/gmd-2020-324-RC2
Improving Soil Moisture Prediction of a High–Resolution Land Surface Model by Parameterising Pedotransfer Functions through Assimilation of SMAP Satellite Data. 2020-07-15
DOI: https://doi.org/10.5194/hess-2020-303
A new space-borne perspective of crop productivity variations over the US Corn Belt. 2020-03-23
DOI: https://doi.org/10.5194/egusphere-egu2020-19566
High resolution soil moisture estimation and evaluation from Earth observation. 2020-03-23
DOI: https://doi.org/10.5194/egusphere-egu2020-18099
New Vegetation Radiative Transfer Schemes for Land Surface Models. 2020-03-23
DOI: https://doi.org/10.5194/egusphere-egu2020-10282
Efficient hyper-parameter determination for regularised linear BRDF parameter retrieval. 2020-02-16
DOI: http://dx.doi.org/10.1080/01431161.2019.1667552
A new space-borne perspective of crop productivity variations over the US Corn Belt. 2020-02
DOI: http://dx.doi.org/10.1016/j.agrformet.2019.107826
The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0. 2020-01-07
DOI: http://dx.doi.org/10.5194/gmd-13-55-2020
Cocoa plant productivity in West Africa under climate change: A modelling and experimental study. 2020
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85098540966&partnerID=MN8TOARS
Influence of sun zenith angle on canopy clumping and the resulting impacts on photosynthesis. 2020
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85086441210&partnerID=MN8TOARS
Using Spectral Indices to Estimate Water Content and GPP in Sphagnum Moss and Other Peatland Vegetation. 2020
DOI: http://dx.doi.org/10.1109/tgrs.2019.2961479
Underestimation of Global Photosynthesis in Earth System Models Due to Representation of Vegetation Structure. 2019-11
DOI: http://dx.doi.org/10.1029/2018gb006135
A model of gross primary productivity based on satellite data suggests formerly afforested peatlands undergoing restoration regain full photosynthesis capacity after five to ten years. 2019-09
DOI: http://dx.doi.org/10.1016/j.jenvman.2019.03.040
Changes in carbon flux and spectral reflectance of Sphagnum mosses as a result of simulated drought. 2019-09
DOI: http://dx.doi.org/10.1002/eco.2123
Human‐driven habitat conversion is a more immediate threat to Amboseli elephants than climate change. 2019-09
DOI: http://dx.doi.org/10.1111/csp2.87
The Land Variational Ensemble Data Assimilation fRamework: LaVEnDAR. 2019-04-11
DOI: https://doi.org/10.5194/gmd-2019-60
Modelling large herbivore movement decisions: Beyond food availability as a predictor of ranging patterns. 2019
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85053438432&partnerID=MN8TOARS
Supplementary material to "TAMSAT-ALERT v1: A new framework for agricultural decision support". 2018-02-06
DOI: https://doi.org/10.5194/gmd-2017-316-supplement
TAMSAT-ALERT v1: A new framework for agricultural decision support. 2018-02-06
DOI: https://doi.org/10.5194/gmd-2017-316
Application of Sentinel-2A data for pasture biomass monitoring using a physically based radiative transfer model. 2018
Fast matrix treatment of 3-D radiative transfer in vegetation canopies: SPARTACUS-Vegetation 1.1. 2018
Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model. 2018
Individual-based modelling of elephant population sensing to estimate food availability. 2018
Potential for using remote sensing to estimate carbon fluxes across northern peatlands – A review. 2018
TAMSAT-ALERT v1: a new framework for agricultural decision support. 2018
Using satellite observations of precipitation and soil moisture to constrain the water budget of a land surface model. 2017-12-22
DOI: https://doi.org/10.5194/hess-2017-705
Fast matrix treatment of 3D radiative transfer in vegetation canopies: SPARTACUS-Vegetation 1.0. 2017-09-14
DOI: https://doi.org/10.5194/gmd-2017-208
Determinants of woody encroachment and cover in African savannas.. 2017
Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America.. 2017
Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska. 2017
The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (V-cmax) on global gross primary production. 2017
Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions. 2017
Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska. 2016-10-06
DOI: https://doi.org/10.5194/gmd-2016-252
Bayesian Analysis of Uncertainty in the GlobCover 2009 Land Cover Product at Climate Model Grid Scale. 2016-04
DOI: http://www.mdpi.com/2072-4292/8/4/314
The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia. 2016-04
DOI: http://www.mdpi.com/2072-4292/8/4/342
Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation. 2016
Probabilistic Downscaling of Remote Sensing Data with Applications for Multi-Scale Biogeochemical Flux Modeling. 2015
Probabilistic Downscaling of Remote Sensing Data with Applications for Multi-scale Biogeochemical Flux Modeling [dataset]. 2015
DOI: https://doi.org/10.15788/M21598
Do we (need to) care about canopy radiation schemes in DGVMs? Caveats and potential impacts. 2014
Joint data assimilation of satellite reflectance and net ecosystem exchange data constrains ecosystem carbon fluxes at a high-elevation subalpine forest. 2014
Do we (need to) care about canopy radiation schemes in DGVMs? An evaluation and assessment study. 2013-10-25
DOI: https://doi.org/10.5194/bgd-10-16551-2013
Persistent reduced ecosystem respiration after insect disturbance in high elevation forests. 2013
Quantifying uncertainty in remotely sensed land cover maps. 2013
Reconciling biodiversity and carbon conservation. 2013
An Earth Observation Land Data Assimilation System (EO-LDAS). 2012
Data assimilation of Sentinel-2 observations: Preliminary results from EO-LDAS and outlook. 2012
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-84871053230&partnerID=MN8TOARS
Terrestrial ecosystems from space: a review of earth observation products for macroecology applications. 2012
A data assimilation method for using low-resolution Earth observation data in heterogeneous ecosystems. 2011
An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest. 2011
RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models. 2011
Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements. 2011
CHANGING CLIMATE AND THE IRISH LANDSCAPE. 2010
Temporal Constraints on Linear BRDF Model Parameters. 2010
Modelling the impact of wildfire on spectral reflectance. 2009
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-77951293292&partnerID=MN8TOARS
The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data. 2009
Assimilating canopy reflectance data into an ecosystem model with an Ensemble Kalman Filter. 2008
Assimilating earth observation data into land surface models. 2008
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-67649827821&partnerID=MN8TOARS
Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble kalman filter. 2008
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-67649760301&partnerID=MN8TOARS
Global responses of terrestrial productivity to contemporary climatic oscillations. 2008
Impact of land cover uncertainties on estimates of biospheric carbon fluxes. 2008
The globcarbon initiative: Global biophysical products for global terrestrial carbon studies. 2008
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-77954565112&partnerID=MN8TOARS
Using satellite observations in regional scale calculations of carbon exchange. 2008
An update on the globcarbon initiative: Multi-sensor estimation of global biophysical products for global terrestrial carbon studies. 2007
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-36448929108&partnerID=MN8TOARS
Assimilating MODIS reflectance data into an ecosystem model to improve estimates of terrestrial carbon flux: Recent progress. 2007
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-82355173528&partnerID=MN8TOARS
Assimilating reflectance data into a ecosystem model to improve estimates of terrestrial carbon flux. 2007
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-85069648615&partnerID=MN8TOARS
Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence?. 2007
Modelling canopy reflectance with spectral invariants. 2007
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-85058880541&partnerID=MN8TOARS
CTCD CHRIS-Proba activities. 2005
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-23844536985&partnerID=MN8TOARS
Comparison of MODIS broadband albedo over an agricultural site with ground measurements and values derived from Earth observation data at a range of spatial scales. 2004
Coupling a canopy reflectance model with a global vegetation model. 2004
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-15944376923&partnerID=MN8TOARS
Inter-comparison of phenological measures derived from coarse resolution earth observation and implications for assimilation into dynamic vegetation models. 2003
EID: http://www.scopus.com/inward/record.url?eid=2-s2.0-0242542008&partnerID=MN8TOARS
Movements of migrating green turtles in relation to AVHRR derived sea surface temperature. 2001
Movements of migrating green turtles in relation to AVHRR derived sea surface temperature. 2001
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-0035918525&partnerID=MN8TOARS
