A5001917805- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Cryospheric studies and observations
- Geology and Paleoclimatology Research
- Geophysics and Gravity Measurements
- Peatlands and Wetlands Ecology
- Geological Studies and Exploration
- Climate change impacts on agriculture
- Methane Hydrates and Related Phenomena
- Soil Geostatistics and Mapping
- Soil Moisture and Remote Sensing
- Plant Ecology and Soil Science
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
Forest Research
2020
University of Edinburgh
2015-2019
Abstract. This study evaluates the ability of JULES land surface model (LSM) to simulate gross primary productivity (GPP) on regional and global scales for 2001–2010. Model simulations, performed at various spatial resolutions driven with a variety meteorological datasets (WFDEI-GPCC, WFDEI-CRU PRINCETON), were compared MODIS GPP product, spatially gridded estimates upscaled from FLUXNET network (FLUXNET-MTE) CARDAMOM terrestrial carbon cycle analysis. Firstly, when was WFDEI-GPCC dataset...
Abstract. There is a significant knowledge gap in the current state of terrestrial carbon (C) budget. Recent studies have highlighted poor understanding particularly C pool transit times and whether productivity or biomass dominate these biases. The Arctic, accounting for approximately 50 % global soil organic stocks, has an important role cycle. Here, we use CARbon DAta MOdel (CARDAMOM) data-assimilation system to produce pan-Arctic cycle analyses 2000–2015. This approach avoids using...
Abstract. This study evaluates the ability of JULES land surface model (LSM) to simulate photosynthesis using local and global data sets at 12 FLUXNET sites. Model parameters include site-specific (local) values for each flux tower site default used in Hadley Centre Global Environmental (HadGEM) climate model. Firstly, gross primary productivity (GPP) estimates from driving with derived measurements were compared observations network. When data, is biased total annual GPP underestimated by...
Abstract The climate sensitivity of carbon (C) cycling in Arctic terrestrial ecosystems is a major unknown the Earth system. There lack knowledge about mechanisms that drive interactions between photosynthesis, respiration, and changes C stocks across full annual cycles tundra. We use calibrated validated model (soil‐plant‐atmosphere; SPA) to estimate net ecosystem exchange (NEE), gross primary production (GPP), respiration (R eco ), internal processing eight years. SPA's flux estimates are...
Abstract. Changes in atmospheric carbon dioxide and water vapour change the energy balance of atmosphere thus climate. One important influence on these greenhouse gases is land surface. Land Surface Models (LSMs) represent interaction between terrestrial biosphere Global Climate (GCMs). As LSMs become more advanced, there a need to test their accuracy. Uncertainty from contributes towards uncertainty cycle simulations future climate change. In this study, we evaluate ability JULES LSM...
Abstract. Drought is predicted to increase in the future due climate change, bringing with it a myriad of impacts on ecosystems. Plants respond drier soils by reducing stomatal conductance, order conserve water and avoid hydraulic damage. Despite importance plant drought responses for global carbon cycle local/regional feedbacks, land surface models are unable capture observed soil moisture stress. We assessed impact stress simulated gross primary productivity (GPP) latent energy flux (LE)...
Abstract. This study evaluates the ability of JULES Land Surface Model (LSM) to simulate Gross Primary Productivity (GPP) at regional and global scales for 2001–2010. simulations, performed various spatial resolutions driven with a variety meteorological datasets (WFDEI-GPCC, WFDEI-CRU PRINCETON), were compared MODIS GPP product, spatially gridded estimates upscaled from FLUXNET network (FLUXNET-MTE) CARDAMOM terrestrial carbon cycle analysis. Firstly, was found interannual variability (IAV)...
Abstract. There is a significant knowledge gap in the current state of terrestrial carbon (C) budget. The Arctic accounts for approximately 50 % global soil organic C stock, emphasizing important role regions cycle. Recent studies have pointed to poor understanding pools turnover, although remain unclear as whether productivity or biomass dominate biases. Here, we use an improved version CARDAMOM data-assimilation system, produce pan-Arctic C-related variables without using traditional plant...
Figure S1.Spatial domain defined by the Northern Circumpolar Soil Carbon Database version 2 (NCSCDv2) region.The tundrataiga regions were separated based on presence-absence of forested areas using GlobCover map 25 (http://due.esrin.esa.int/page_globcover.php).Forested included: closed to open broadleaved evergreen or semi-deciduous forest (>5m), (>40%) deciduous (15-40%) forest/woodland needleleaved (>5m) and (>15%) mixed (>5m).30 TUNDRA