1,721,424 research outputs found
REFLEX: REgional FLux Estimation eXperiment
No full textReflex_final.pdf: description of the REFLEX experiment, DALEC models, data, instructions on how to participate
DALEC_deciduous.F90: fortran code for the deciduous DALEC model
DALEC.F90: fortran code for the evergreen DALEC model
xxx_drivers.csv: driving data for particular experiments (DE1-3; EV 1-3)
xxx.obs.csv: observations for particular experimen
CARDAMOM 2001-2010 global carbon Model-Data Fusion (MDF) analysis
No full textThe CARbon DAta MOdel fraMework (CARDAMOM; Bloom et al., 2015 in review) outputs are derived from a global 1-degree x 1-degree 2001-2010 model-data fusion (MDF) analysis. The datasets include allocation fractions (AF) residence times (RT), mean carbon pool stocks (CP) and fluxes (FL). A list of files and their contents is provided below.
The Data Assimilation Linked Ecosystem Carbon model version 2 (DALEC2) and the Markov Chain Monte Carlo MDF algorithm are described by Bloom & Williams (2015); the fire module is described by Bloom et al., (2015; in review). Data constraints used in the CARDAMOM analysis consist of MODIS leaf area index (LAI), Harmonised World Soil Database (HWSD; Hiederer & Kochy, 2012) and tropical biomass (Saatchi et al., 2011). For each 1-degree x 1-degree gridcell, the metrics (e.g. mean, median, etc.) are based on 4000 DALEC2 model parameter samples unique to that grid-cell.
We note that the full 2001-2010 CARDAMOM output amounts to roughly 10 TB in binary format. For the sake of brevity, we have limited the following datasets to the subset presented in Bloom et al., (2015, in review). Additional MDF outputs can be made available upon request.
##CONTACTS:##
Anthony Bloom: [email protected]
Mathew Williams: [email protected]
Jeff Exbrayat: [email protected]
##Datasets:##
###File name: Description ###
------------------------
CARDAMOM_2001_2010_AF_AUT.nc: GPP fraction autotrophically respired.
CARDAMOM_2001_2010_AF_LAB.nc: GPP fraction allocated to labile C.
CARDAMOM_2001_2010_AF_FOL.nc: GPP fraction allocated to foliar C.
CARDAMOM_2001_2010_AF_ROO.nc: GPP fraction allocated to fine root C.
CARDAMOM_2001_2010_AF_WOO.nc: GPP fraction allocated to wood C.
CARDAMOM_2001_2010_RT_FOL.nc: Foliar C residence time
CARDAMOM_2001_2010_RT_ROO.nc: Fine root C residence time
CARDAMOM_2001_2010_RT_WOO.nc: Wood C residence time
CARDAMOM_2001_2010_RT_LIT.nc: Litter C residence time
CARDAMOM_2001_2010_RT_SOM.nc: Soil carbon residence time
CARDAMOM_2001_2010_CP_LAB.nc: Mean 2001-2010 labile C
CARDAMOM_2001_2010_CP_FOL.nc: Mean 2001-2010 foliar C
CARDAMOM_2001_2010_CP_ROO.nc: Mean 2001-2010 fine root C
CARDAMOM_2001_2010_CP_WOO.nc: Mean 2001-2010 woody C
CARDAMOM_2001_2010_CP_LIT.nc: Mean 2001-2010 litter C
CARDAMOM_2001_2010_CP_SOM.nc: Mean 2001-2010 soil C
CARDAMOM_2001_2010_FL_GPP.nc: Gross primary production
CARDAMOM_2001_2010_FL_NPP.nc: Net primary production
CARDAMOM_2001_2010_FL_RAU.nc: Autotrophic respiration
CARDAMOM_2001_2010_FL_RHE.nc: Heterotrophic respiration
CARDAMOM_2001_2010_FL_FIR.nc: Fires
CARDAMOM_2001_2010_FL_NEE.nc: Net ecosystem exchange
CARDAMOM_2001_2010_FL_NCE.nc: Net carbon exchange
CARDAMOM_2001_2010_LCMA.nc: Leaf mass per area
CARDAMOM_2001_2010_NCE_monthly_mode.nc: Mode monthly NCE
CARDAMOM_2001_2010_FIGURE_MAPS.nc: Datasets used to make figures 1-3.
###NOTES:###
+ AF*, CP* and LCMA netcdf (.nc) files: Lon, Lat and global 180x360 (LatxLon) datasets: (mean, median, st. dev, 5th, 25th, 75th, 95th %iles)
+ RT* files: (log-based mean, median, log-based st. dev, 5th, 25th, 75th, 95th %iles)
+ FL* files: Lon, Lat and global 180x360 (LatxLon) datasets: (mean, median, st. dev, 25th and 75th %iles)
+ NCE_monthly_mode: Lon, Lat, time and global 180x360x120 (LatxLonxMonth): NCE mode.
+ MAPS*: Lon, Lat and global 180x360 (LatxLon) datasets used in figures 1-3 in Bloom et al., (2015, in review).
##REFERENCES:##
+ Bloom AA, Williams M. (2015) Constraining ecosystem carbon dynamics in a data-limited world: integrating ecological" common sense" in a model-data fusion framework. Biogeosciences 12(5): 1299-1315.
+ Bloom et al., (2015, in review) The decadal state of the terrestrial carbon cycle: global constraints on terrestrial carbon allocation, pools and residence
time.
+ Hiederer R, Kochy M (2011) Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR 25225 EN. Publications Office of the European Union. 79pp.
+ Saatchi SS, et al. (2011) Benchmark map of forest carbon stocks in tropical regions across three continents. Proc Natl Acad Sci 108(24): =9899-9904
Data assimilation linked ecosystem carbon model, version 2
No full textDALEC2 is an intermediate complexity model of terrestrial carbon cycling. DALEC2 ("Data assimilation linked ecosystem carbon model, version 2") resolves gross primary production; its allocation to labile, foliar, wood and fine root pools; the turnover and mortality of these pools, generating dead organic matter; the mineralisation of dead organic matter in litter and soil. DALEC2 operates at daily-monthly timescales, and requires as input daily max and min temperature, total daily shortwave radiation, atmospheric CO2 concentration and day of year. DALEC2 has 6 C pools, 17 fluxes, and 17 parameters. The GPP model is ACM, a sub-model that has 10 parameters - 9 of these are fixed, and one is a common parameter with DALEC2
GapFire
No full textGapFire is a model developed as part of a pilot REDD+ project in conjunction with the Mpingo Conservation & Development Initiative. It has been designed to predict changes in above ground biomass of miombo woodlands in response to observations of early and late fire frequency. The model is an intrinsic part of an established VCS methodology for C storage: VM0029 "Methodology for Avoided Forest Degradation through Fire Management”.Williams, Mathew; Bowers, Sam; Ryan, Casey. (2020). GapFire, [dataset]. University of Edinburgh. School of GeoSciences. Institute of Geography. https://doi.org/10.7488/ds/2795
Aggregated Canopy Model for Gross Primary Productivity and Evapotranspiration (Version 1)
No full textSource code and example for the aggregated canopy model for gross primary productivity and evapotranspiration version 1 (ACM-GPP-ET v1). ACM-GPP-ETv1 is a model of intermediate complexity representing coupled daily plant carbon (photosynthesis or GPP) and water cycles (transpiration, soil evaporation and evaporation of canopy intercepted rainfall). ACM-GPP-ET represents the whole plant hydraulic pathway balancing available water supply and evaporative demand through ecophysiological principles. Held on Edinburgh DataShare.Smallman, Thomas Luke; Williams, Mathew. (2018). Aggregated Canopy Model for Gross Primary Productivity and Evapotranspiration (Version 1), [software]. University of Edinburgh. National Centre for Earth Observation and School of GeoSciences. https://doi.org/10.7488/ds/2480
DALEC2
No full textDALEC2 is an intermediate complexity model of terrestrial carbon cycling. DALEC2 ("Data assimilation linked ecosystem carbon model, version 2") resolves gross primary production; its allocation to labile, foliar, wood and fine root pools; the turnover and mortality of these pools, generating dead organic matter; the mineralisation of dead organic matter in litter and soil. DALEC2 operates at daily-monthly timescales, and requires as input daily max and min temperature, total daily shortwave radiation, atmospheric CO2 concentration and day of year. DALEC2 has 6 C pools, 17 fluxes, and 17 parameters. The GPP model is ACM, a sub-model that has 10 parameters - 9 of these are fixed, and one is a common parameter with DALEC2.Williams, Mathew. (2019). DALEC2, [software]. University of Edinburgh. https://doi.org/10.7488/ds/2504
ATEC manuscript 1 - supporting data: "The value of Sentinel-2 spectral bands for the assessment of winter wheat growth and development"
No full textRevill, Andrew; MacArthur, Alasdair; Williams, Mathew; Florence, Anna; Hoad, Stephen; Rees, Robert. (2020). ATEC manuscript 1 - supporting data: "The value of Sentinel-2 spectral bands for the assessment of winter wheat growth and development", 2018 [dataset]. University of Edinburgh. School of GeoSciences. https://doi.org/10.7488/ds/2883
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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