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area/.zarray

@@ -0,0 +1,22 @@
+{
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+        360
+    ],
+    "compressor": {
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+        "clevel": 5,
+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
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+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
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+}

area/.zattrs

@@ -0,0 +1,8 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "latitude",
+        "longitude"
+    ],
+    "description": "Square meters of each grid cell, calculated in crs 8857, WGS 84 / Equal Earth Greenwich",
+    "units": "m2"
+}

biomes/.zarray

@@ -0,0 +1,22 @@
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+}

biomes/.zattrs

@@ -0,0 +1,24 @@
+{
+    "1": "Flooded Grasslands & Savannas",
+    "10": "Tundra",
+    "11": "Tropical & Subtropical Coniferous Forests",
+    "12": "Tropical & Subtropical Dry Broadleaf Forests",
+    "13": "Tropical & Subtropical Moist Broadleaf Forests",
+    "14": "Montane Grasslands & Shrublandss",
+    "15": "Temperate Broadleaf & Mixed Forests",
+    "2": "Tropical & Subtropical Grasslands, Savannas & Shrublands",
+    "3": "Mediterranean Forests, Woodlands & Scrub",
+    "4": "Rock & Ice",
+    "5": "Mangroves",
+    "6": "Temperate Grasslands, Savannas & Shrublands",
+    "7": "Temperate Conifer Forests",
+    "8": "Deserts & Xeric Shrublandss",
+    "9": "Boreal Forests/Taiga",
+    "_ARRAY_DIMENSIONS": [
+        "latitude",
+        "longitude"
+    ],
+    "biome_number": "biome_name",
+    "description": "The RESOLVE Ecoregions dataset, updated in 2017, offers a depiction of the 846 terrestrial ecoregions that represent our living planet.Ecoregions, in the simplest definition, are ecosystems of regional extent. Specifically, ecoregions represent distinct assemblages of biodiversity-all taxa, not just vegetation-whose boundaries include the space required to sustain ecological processes. Ecoregions provide a useful basemap for conservation planning in particular because they draw on natural, rather than political, boundaries, define distinct biogeographic assemblages and ecological habitats within biomes, and assist in representation of Earth's biodiversity.This dataset is based on recent advances in biogeography - the science concerning the distribution of plants and animals. The original ecoregions dataset has been widely used since its introduction in 2001, underpinning the most recent analyses of the effects of global climate change on nature by ecologists to the distribution of the world's beetles to modern conservation planning.The 846 terrestrial ecoregions are grouped into 14 biomes ",
+    "provider": "RESOLVE Biodiversity and Wildlife Solutions"
+}

drought_code_mean/.zarray

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+{
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+        180,
+        360
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+        "cname": "lz4",
+        "id": "blosc",
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+    },
+    "dimension_separator": ".",
+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
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+}

drought_code_mean/.zattrs

@@ -0,0 +1,12 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "description": "The Drought code is an indicator of the moisture content in deep compact organic layers. This code represents a fuel layer at approximately 10-20 cm deep. The Drought code fuels have a very slow drying rate, with a time lag of 52 days. The Drought code scale is open-ended, although the maximum value is about 800",
+    "downloaded_from": "https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-fire-historical?tab=overview",
+    "long_name": "Drought Code, Average",
+    "provider": "Copernicus CEMS",
+    "units": "Dimensionless"
+}

fcci_ba/.zarray

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+{
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+        180,
+        360
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+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
+    },
+    "dimension_separator": ".",
+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
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+        720,
+        1440
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+}

fcci_ba/.zattrs

@@ -0,0 +1,14 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "creator_notes": "Masked ocean with lsm variable. Missing years filled with Nan. USE ONLY for monthly modeling! FireCCI is a monthly product that could not be fairly distributed to weekly time range. Each week of the same month is filled with the same monthly value. To acquire the monthly value take the average of each month",
+    "description": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The MODIS Fire_cci v5.1 grid product described here contains gridded data on global burned area derived from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001 to 2019. This product supercedes the previously available MODIS v5.0 product. The v5.1 dataset was initially published for 2001-2017, and has been periodically extended to include 2018 to 2020.",
+    "downloaded_from": "https://catalogue.ceda.ac.uk/uuid/3628cb2fdba443588155e15dee8e5352 ",
+    "long_name": "Burned Areas from Fire Climate Change Initiative (FCCI)",
+    "missing_years": "2021",
+    "provider": "ESA CCI",
+    "units": "hectares (ha)"
+}

fcci_fraction_of_observed_area/.zarray

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+{
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+    "dimension_separator": ".",
+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        1150,
+        720,
+        1440
+    ],
+    "zarr_format": 2
+}

fcci_fraction_of_observed_area/.zattrs

@@ -0,0 +1,10 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "description": "The fraction of the total burnable area in the cell (fraction_of_burnable_area variable of this file) that was observed during the time interval, and was not marked as unsuitable/not observable. The latter refers to the area where it was not possible to obtain observational burned area information for the whole time interval because of lack of input data (non-existing data for that location and period).",
+    "long_name": "fraction of observed area",
+    "units": "0 to 1"
+}

fcci_number_of_patches/.zarray

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+{
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+        180,
+        360
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+    },
+    "dimension_separator": ".",
+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        1150,
+        720,
+        1440
+    ],
+    "zarr_format": 2
+}

fcci_number_of_patches/.zattrs

@@ -0,0 +1,10 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "description": "Number of contiguous groups of burned pixels.",
+    "long_name": "number of burn patches",
+    "units": "0 to N"
+}

fwi_max/.zarray

@@ -0,0 +1,25 @@
+{
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+        966,
+        180,
+        360
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+    "compressor": {
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+        "cname": "lz4",
+        "id": "blosc",
+        "shuffle": 1
+    },
+    "dimension_separator": ".",
+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        1150,
+        720,
+        1440
+    ],
+    "zarr_format": 2
+}

fwi_max/.zattrs

@@ -0,0 +1,12 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "description": "The Fire weather index (max and mean) is a combination of Initial spread index and Build-up index, and is a numerical rating of the potential frontal fire intensity. In effect, it indicates fire intensity by combining the rate of fire spread with the amount of fuel being consumed. Fire weather index values are not upper bounded however a value of 50 is considered as extreme in many places. The Fire weather index is used for general public information about fire danger conditions",
+    "downloaded_from": "https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-fire-historical?tab=overview ",
+    "long_name": "Fire Weather Index, Maximum",
+    "provider": "Copernicus-CEMS",
+    "units": "Dimensionless"
+}

gfed_ba/.zarray

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+{
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+        180,
+        360
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+        "cname": "lz4",
+        "id": "blosc",
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+    },
+    "dimension_separator": ".",
+    "dtype": "<f4",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        1150,
+        720,
+        1440
+    ],
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+}

gfed_ba/.zattrs

@@ -0,0 +1,15 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "aggregation": "Temporal | sum",
+    "creator_notes": "Masked ocean with lsm variable. Missing years filled with Nan",
+    "description": "GFED4 dataset contains information about large fires only",
+    "downloaded_from": "http://www.globalfiredata.org/data.html",
+    "long_name": "Burned Areas from GFED",
+    "missing years": "2016-2021",
+    "provider": "Global Fire Emissions Database (GFED)",
+    "units": "hectares (ha)"
+}

gfed_ba_valid_mask/.zarray

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+        966
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+    "dimension_separator": ".",
+    "dtype": "|i1",
+    "fill_value": null,
+    "filters": null,
+    "order": "C",
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+}

gfed_ba_valid_mask/.zattrs

@@ -0,0 +1,6 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time"
+    ],
+    "description": "gfed_ba_valid_mask signifies the time period for which variable gfed_ba is valid. 1 valid, 0 invalid."
+}

gwis_ba/.zarray

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+{
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+}

gwis_ba/.zattrs

@@ -0,0 +1,13 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "aggregation": "Spatio-Temporal | sum",
+    "creator_notes": "The missing data for the year 2001 has been filled with NaN values. The dataset is constructed using the ignition dates of the burned areas shapefiles. Each year is divided into 46 periods of 8 days, with the last period in December consisting of either 5 or 6 days, depending on whether it is a leap year.",
+    "downloaded_from": "https://gwis.jrc.ec.europa.eu/apps/country.profile/downloads",
+    "long_name": "Burned Areas from GWIS",
+    "provider": "Global Wildfire Information System (GWIS)",
+    "units": "hectares (ha)"
+}

lai/.zarray

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+{
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+}

lai/.zattrs

@@ -0,0 +1,14 @@
+{
+    "_ARRAY_DIMENSIONS": [
+        "time",
+        "latitude",
+        "longitude"
+    ],
+    "aggregation": "Temporal | mean",
+    "creator_notes": "Seasonality in Nan values for high latitudes, due to seasonality in the data availability",
+    "description": "The MCD15A2H Version 6 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is an 8-day composite dataset with 500 meter pixel size. The algorithm chooses the best pixel available from all the acquisitions of both MODIS sensors located on NASA\u2019s Terra and Aqua satellites from within the 8-day period.LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700 nm) absorbed by the green elements of a vegetation canopy.",
+    "downloaded_from": "https://lpdaac.usgs.gov/products/mcd15a2hv006/",
+    "long_name": "Leaf Area Index ",
+    "provider": "NASA",
+    "units": "m\u00b2/m\u00b2"
+}

latitude/.zarray

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+{
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+        "clevel": 5,
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+    },
+    "dtype": "<f8",
+    "fill_value": "NaN",
+    "filters": null,
+    "order": "C",
+    "shape": [
+        720
+    ],
+    "zarr_format": 2
+}