| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | ||
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1 | Data Set | Current Source Data | Potential new data sources | People Involved | GitHub Issue | Description of current dataset | Current, Years | Current, Resolution | New Years | New resolution | |||||||||||||||||
2 | Land Sea Mask | MODIS IGBP Land Cover - MCD12Q1 Version 5.1 | Data compiled from tiles downloaded from the NASA and USGS Land data Products Distributed Active Archive Center (LP DAAC) website (lpdaac.usgs.gov), mosaicked into global geographic 1km resolution grids. Inland and ocean water bodies used the quality product to identify deep, shallow and coastal ocean water. | 2001 - 2011 | 1 km | ||||||||||||||||||||||
3 | CISM2 Glacier land unit extent | Glacier extent is taken from the Randolph Glacier Inventory version 1.0 (RGIv1.0: Arendt et al. 2012). Greenland Ice Sheet provided by Frank Paul and Tobias Bolch (University of Zurich: Rastner et al. 2012). Antarctic Ice Sheet data provided by Andrew Bliss (University of Alaska) extracted from the Scientific Committee on Antarctic Research (SCAR) Antarctic Digital Database version 5.0. | 2012 | 1 km | |||||||||||||||||||||||
4 | Current Day Plant Functional Type (PFT) | MODIS IGBP Land Cover - MCD12Q1 Version 5.1 | Data compiled as described above. Used for modifying Tree Cover as well as assignment of Non Tree PFTs into Shrub and Grass | 2001 - 2011 | 1 km | ||||||||||||||||||||||
5 | MODIS Vegetation Continuous Fields - MOD44B Version 5.1 | Data compiled from tiles downloaded from the NASA and USGS Land data Products Distributed Active Archive Center (LP DAAC) website (lpdaac.usgs.gov), mosaicked into global geographic 1km resolution grids. Vegetation Cover Fraction Modified by IGBP Land Cover Type using Google Earth and MODIS LAI correction methods. | 2000 - 2015 | 1 km | |||||||||||||||||||||||
6 | AVHRR Continuous Fields Tree Cover Project | Tree Morphology data of Defries et al. (2000b) is used to specify the VCF modified tree percentage into Needleleaf and Broadleaf types, as well as the Evergreen and Deciduous components. | 2000 | 1 km | |||||||||||||||||||||||
7 | EarthStat 2000, MIRCA 2000 and FAOSTAT products | Combined all Crop Functional Type (CFT) Data for 2005 to give Crop Percentage as described later | 2005 | 0.0833 deg | |||||||||||||||||||||||
8 | CRU 3.24.01 surface air temperature and precipitation | The PFT physiology and climate rules of Bonan et al (2002b), developed from Nemani and Running (1996), are used to split the tree, shrub and grass PFTs into tropical, temperate and boreal climate groupings | 2000 - 2015 | 0.25 deg | |||||||||||||||||||||||
9 | MODIS 8 Day Leaf Area Index - MCD15A Version 5.0 | MODIS LAI is combined with CRU monthly temperature and precipitation data to determine fractional C3 and C4 grass mapping. MODIS LAI is also used to modify Bare Soil and Non Tree Cover | 2003 - 2015 | 1 km | |||||||||||||||||||||||
10 | Current Day Crop Functional Type (CFT) | MIRCA 2000 | MIRCA 2000 present-day irrigated and rainfed crop areas dataset of Portmann et al. (2010) consist of global area mapping for all major food crops of the world, as well as fodder grass and other perennial, annual and fibre crops. | 2000 | 0.0833 deg | ||||||||||||||||||||||
11 | EarthStat 2000 | EarthStat data are generated for the year 2000, based on the work of Monfreida et al. (2008) and Ray et al. (2012). | 2000 | 0.0833 deg | |||||||||||||||||||||||
12 | UN FAOSTAT | Annual country level UN FAOSTAT crop harvest, yield and irrigation data was used to scale up or down the EarthStat 2000 1 km data to achieve the FAOSTAT target values for each country, while maintaining the relative spatial distributions of each value. | 1961 - 2016 | Country | |||||||||||||||||||||||
13 | Glaciers | CISM2 Glacier land unit extent | Data compiled as described above. Floating ice is only provided for the Antarctic and does not include the small area of Arctic ice shelves. High spatial resolution vector data were used to determine the area of glacier, ice sheet and floating ice within 30-second grid cells globally. | 2012 | 1 km | ||||||||||||||||||||||
14 | CISM2 Glacier region identifier | The Glacier land unit is also provided with a region identifier for the CISM2 ice sheet model for: 1. Greenland; 2. Greenland Surrounds for potential ice sheet growth; 3. Antarctica; and 4. All other glaciers | 2012 | 1 km | |||||||||||||||||||||||
15 | CISM2 Glacier elevation class | Current day distribution of the elevation classes is prescribed from ice sheets and Antarctic ice shelf masks combined with the GLOBE topography to generate the 10 ice-covered areas (Arendt et al. 2012, Rastner et al. 2012, Hastings et al. 1999) | 2012 | 1 km | |||||||||||||||||||||||
16 | Lakes | Lake extent | Transient lake area dataset from Inne | Inne / Bill S | Lake extent is taken from the Global Lake and Wetland Database (GLWD) of Lehner and Doll (2004)within 30-second grid cells globally. | 2000 | 1 km | ||||||||||||||||||||
17 | Lake depth | Mean lake depth for each grid cell is calculated based on the global gridded data sets of Kourzeneva (2012) | 2010 | 1 km | |||||||||||||||||||||||
18 | Urban | Urban density class extent | Transient BNU RCP85, then Gao and O'Neill (2019) SSPs | K. Oleson, B. Fang, L. Zhao, K. Zhang | PR#1586, PR#1564 | Present day global urban density class extent is mapped from from the LandScan 2004 population density dataset following from Jackson et al. (2010) for the four classes of tall building district (TBD), as well as high, medium, and low density (HD, MD, LD) urban developments. Low density not used in CLM5 | 2005 | 0.05 deg | |||||||||||||||||||
19 | Urban region | The urban density classes are mapped for 33 distinct regions across the globe as described by Jackson et al. (2010). | 2005 | 0.05 deg | |||||||||||||||||||||||
20 | Urban properties | Oleson and Feddema (2019). This includes a new building temperature streams file. | K. Oleson | PR#591, PR#1157, I#1252 | The density classes have average building properties provided for 33 distinct regions across the globe as described by Jackson et al. (2010). | 2005 | Region | ||||||||||||||||||||
21 | Soils | Soil Depth | Spatially explicit soil thickness data from Pelletier et al., (2016) as described in Brunke et al. (2016) and Swenson and Lawrence, (2015) | 2015 | 0.0833 deg | ||||||||||||||||||||||
22 | Soil Organic Matter | WISE 30sec data NOT using SoilGrids v2 5000 km product | Will (convert nc), Ufuk (mesh file), Keith (initial testing), Dave (regridding) | #1303 | Majority of the globe from the ISRIC-WISE (Batjes, 2006) mapping, with high latitudes mapping from the 0.25 degree version of the Northern Circumpolar Soil Carbon Database (Hugelius et al. 2012) | 2005 | 0.0833 deg | 5000m, 1000m data also available | |||||||||||||||||||
23 | Soil Mineral Composition | WISE 30sec data NOT using SoilGrids v2 5000 km product | Will (convert nc), Ufuk (mesh file), Keith (initial testing), Dave (regridding) | #1303 | IGBP soil dataset (Global Soil Data Task 2000) with the 4931 soil classes mapped to depth varying soil profiles of sand and clay | 2000 | 0.0833 deg | 5000m, 1000m data also available | |||||||||||||||||||
24 | Topography | Elevation | Average Elevation calculated from HYDRO1K dataset (Verdin and Greenlee 1996) from USGS | 1996 | Various Res Lat - Lon pts | ||||||||||||||||||||||
25 | Slope | Average Slope calculated from HYDRO1K dataset (Verdin and Greenlee 1996) from USGS | 1996 | Various Res Lat - Lon pts | |||||||||||||||||||||||
26 | Fmax | Fmax value is a scalar showing the maximum fraction of inundation. The 1-km compound topographic indices (CTIs) based on the HYDRO1K dataset (Verdin and Greenlee 1996) | 1996 | 0.125 deg | |||||||||||||||||||||||
27 | Rivers | MOSART River Network | Dominant River Tracing (DRT) algorithm from Wu et al. (2011) and Wu et al. (2012) using the baseline high-resolution hydrography dataset is the 1 km resolution HydroSHEDS data of Lehner and Doll (2004) and Lehner et al. (2008) | 2000 | 0.5 deg | ||||||||||||||||||||||
28 | MOSART Channel Slope | Dominant River Tracing (DRT) algorithm from Wu et al. (2011) and Wu et al. (2012) | 2000 | 0.5 deg | |||||||||||||||||||||||
29 | MOSART Channel Roughness | Dominant River Tracing (DRT) algorithm from Wu et al. (2011) and Wu et al. (2012) | 2000 | 0.5 deg | |||||||||||||||||||||||
30 | PFT Leaf and Stem Area Index Values | Current Day Plant and Crop Functional Types (PFTs and CFTs) | Data compiled as described above. The PFT Monthly LAI and SAI values are generated following updated methods from Lawrence and Chase (2007). | 2005 | 1 km | ||||||||||||||||||||||
31 | MODIS 8 Day Leaf Area Index - MCD15A Version 5.0 | Data compiled as described above. | 2003 - 2015 | 1 km | |||||||||||||||||||||||
32 | CRU 3.24.01 surface air temperature and precipitation | Data compiled as described above. | 2000 - 2015 | 0.25 deg | |||||||||||||||||||||||
33 | PFT Canopy Height | Current Day Plant and Crop Functional Types (PFTs and CFTs) | Data compiled as described above. The new PFT Canopy Height values are generated following updated methods from Lawrence and Chase (2007). | 2005 | 1 km | ||||||||||||||||||||||
34 | ICESAT canopy height | The relative PFT canopy heights used to disaggregate the observed by the ICESAT for the grid cell. | 2003 - 2015 | 1 km | |||||||||||||||||||||||
35 | Soil Color | Current Day Plant and Crop Functional Types (PFTs and CFTs) | Data compiled as described above. The Soil Color values are generated following updated methods from Lawrence and Chase (2007). | 2005 | 1 km | ||||||||||||||||||||||
36 | MODIS 8 Day Albedo - MCD43A2 Version 5.1 | Monthly Climatology Visible and NIR solar noon albedo were compiled from the USGS DAAC. Albedo values were used to optimize soil colors with offline version of the two stream radiation model with current day PFTs/CFTs, snow fraction, CLM4.5 soil moisture, and downwelling solar. | 2003 - 2015 | 1 km | |||||||||||||||||||||||
37 | MODIS 8 Day Snow Fraction - MCD43A3 Version 5.1 | Monthly Climatology Snow cover fraction were compiled from the USGS DAAC. | 2003 - 2015 | 1 km | |||||||||||||||||||||||
38 | CLM4.5 Soil Moisture | Monthly Climatology Data generated at 0.9x1.25 degree resolution from CMIP5 historical run interpolated to 1km | 1985 - 2004 | 0.9 deg | |||||||||||||||||||||||
39 | CLM4.5 Downwelling Solar | Monthly Climatology Data generated at 0.9x1.25 degree resolution from CMIP5 historical run interpolated to 1km | 1985 - 2004 | 0.9 deg | |||||||||||||||||||||||
40 | Fire Model | Population | Annual global population density maps from the Database of the Global Environment version 3.1 (HYDEv3.1) (Klein Goldewijk 2011), the Gridded Population of the World version 3 dataset (GPWv3) (CIESIN, 2005), and CMIP6 Shared Socio-Economic Projection (SSP) global population maps for are used for the period 2015 – 2100 | 1850 - 2100 | 0.5 deg | ||||||||||||||||||||||
41 | Gross Domestic Product | ISIMIP has transient data, over historical period | GDP data for IPCC-SRES and derived from country-level World Bank’s World Development Indicators (WDI) measured in constant 1995 US dollars (World Bank, 2004) and the UN Statistics Database (UNSTAT, 2005). | 2000 | 0.5 deg | ||||||||||||||||||||||
42 | Peatland Area | The global peatland data was generated from data in Indonesia and Malaysian Borneo from Olson et al. (2001), data in Canada from Tarnocai et al. (2011), and bog, fen and mire data in boreal regions (north of 45N) outside Canada provided by the Global Lakes and Wetlands Database (GLWD) of Lehner and Döll (2004). | 2000 | 0.5 deg | |||||||||||||||||||||||
43 | Volatile Organic Compounds | Isoprene Emission Factors | Updating with Megan 3.1 | #1323 | Isoprene emission factors are globally mapped for PFT groups at the 0.5x0.5 degrees resolution. These global maps are taken from the data of Guenther et al. (2012). | 2005 | 0.5 deg | ||||||||||||||||||||
44 | Methane | Monthly Inundated Factors | The Three Inundation Factors (Fi) from Prigent et al. (2007): are Maximum Inundation Factor (F0), the seasonal Surface Runoff Factor (P3), and the Water Table Depth Factor (ZWT0) | 1993 - 2000 | 0.25 deg | ||||||||||||||||||||||
45 | Transient Plant Functional Types | Current Day Plant Functional Types (PFTs) | Current Day PFTs compiled as described above. The Global PFT distributions from 2005 are combined with the LUH2 land use time series to generate time series of CLM5 PFTs for each land use class for each grid cell for each year | 2005 | 0.25 deg | ||||||||||||||||||||||
46 | Historical Land Use Harmonization Time Series States | LUH2 historical reconstruction from 850 to 2015 is predominantly based on the History of the Global Environment database (HYDE 3.2), with land use derived from historical population densities as detailed in Klein Goldewijk et al. (2017). For the modern period the mapping is steered towards satellite information using the land cover data of the UNFAO agricultural land use (FAO 2020a), the FAO Global Forest Resources Assessment for 2000 (FAO 2000), and Landsat forest change detection from Hansen et al. (2013), as described in Hurtt et al. (2020). | 850 - 2015 | 0.25 deg | |||||||||||||||||||||||
47 | Transient Holocene Land Use Harmonization | LUH2 annual land use time series is generated using the first 10 years of the LUH2 historical time series (850 – 859 CE) combined with the HYDE 3.2 population data for the same period. The population data for the Holocene prior to the LUH2 data is then used to scale land use for each grid based on the population of that year relative to the beginning of the LUH2 time period. | 6000bce - 850ce | 0.25 deg | |||||||||||||||||||||||
48 | Transient Share Socio-economic Pathway (SSP) Land Use Harmonization | CMIP6 range of future SSPs generated by ScenarioMIP as evolutions of the SSP narratives and their associated challenges for mitigation and adaptation (Riahi et al. 2017) and (O’Neill et al. 2016). The IAMs responsible produce time series of land use for each of the SSPs as described in Popp et al. (2017) harmonized to a common starting point in 2015 as described in Hurtt et al. (2020). | 2015 - 2300 | 0.25 deg | |||||||||||||||||||||||
49 | Transient Crop Functional Types | Current Day Crop Functional Types (CFTs) | Bring in winter wheat on the CFT, Peter raised issues with defining when and where winter wheat is planted | Peter, Jotyi, Sam | Current Day CFTs compiled as described above. The Global CFT distributions from 1961 to 2016 are combined with the LUH2 land use time series to generate time series of CLM5 CFTs for each land use class for each grid cell for each year | 1961 - 2016 | 0.25 deg | ||||||||||||||||||||
50 | Transient Holocene, Historical and SSP Land Use Harmonization Time Series States | LUH2 transient holocene, historical reconstruction and SSP scenarios for annual crop types as described above and in detail in Hurtt et al. (2020). | 6000bce - 850ce | 0.25 deg | |||||||||||||||||||||||
51 | Shifting Cultivation | Transient Plant and Crop Functional Types | Peter | Transient PFTs and CFTs compiled as described above. The Global PFT and CFT distributions are combined with the LUH2 land use time series to generate time series of CLM5 Gross Unrepresented PFT changes for each land use class for each grid cell for each year | 6000bce - 2300 | 0.25 deg | |||||||||||||||||||||
52 | Transient CFT Irrigation | Transient Crop Functional Types | Transient CFTs compiled as described above. The Global CFT distributions from 6000bce to 2300 are combined with the LUH2 annual crop type irrigation mapping to produce CLM5 Irrigated CFTs for each crop class for each grid cell for each year | 6000bce - 2300 | 0.25 deg | ||||||||||||||||||||||
53 | Land Use Harmonization Time Series Management | LUH2 annual Crop Type Irrigation described in Hurtt et al. (2020). | 6000bce - 2300 | 0.25 deg | |||||||||||||||||||||||
54 | Transient CFT Fertilizer | Current Day Crop Functional Types (CFTs) | Transient CFTs compiled as described above. The Global CFT distributions from 6000bce to 2300 are combined with the LUH2 annual crop type fertilizer mapping to produce CLM5 CFT Fertilizer for each crop class for each grid cell for each year | 6000bce - 2300 | 0.25 deg | ||||||||||||||||||||||
55 | Land Use Harmonization Time Series Management | LUH2 annual Crop Type Fertilizer described in Hurtt et al. (2020). | 6000bce - 2300 | 0.25 deg | |||||||||||||||||||||||
56 | Transient Wood Harvest | Transient Plant Functional Types | Transient PFTs compiled as described above. The Global PFT distributions are combined with the LUH2 land use time series grid cell carbon harvest amounts for the five wood harvest classes to generate time series of CLM5 PFT level wood harvest amounts in gC/yr wood harvest harvest class for each grid cell for each year | 6000bce - 2300 | 0.25 deg | ||||||||||||||||||||||
57 | Land Use Harmonization Time Series Management | LUH2 annual Wood Harvest grid cell amounts in kg/yr for the five classes of Primary Forest, Primary Non Forest, Secondary Young Forest, Secondary Mature Forest and Secondary Non Forest as described in Hurtt et al. (2020). | 6000bce - 2300 | 0.25 deg | |||||||||||||||||||||||
58 | Transient Lake | Inne; historic timeseries | Inne / Bill Sacks | ||||||||||||||||||||||||
59 | Roughness lengh PR | Data from Catherine Prigent, that Ronny Meier uses | Ronny Meier | #1316 | |||||||||||||||||||||||
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