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test rendering #857

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5234b18
test rendering
siddharth0248 Mar 26, 2026
e8ed668
your map inside <Figure>, not a <div>.
siddharth0248 Mar 26, 2026
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18 changes: 14 additions & 4 deletions datasets/micasa-carbonflux-daygrid-v1.data.mdx
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Expand Up @@ -770,18 +770,28 @@ layers:
---

<Block>

<Figure>
<iframe
src="https://dev.openveda.cloud/api/raster/collections/climdex-tmaxxf-access-cm2-ssp126/items/climdex-tmaxxf-access-cm2-ssp126-2100/WebMercatorQuad/map?bidx=1&assets=tmax_above_90&nodata=nan&rescale=0%2C365&resampling=bilinear&colormap_name=ylorrd"
width="100%"
height="400px"
style={{ border: "none", borderRadius: "8px" }}
/>
</Figure>

<Prose>
**Temporal Extent:** January 1, 2001 - Ongoing<br />
**Temporal Resolution:** Daily and Monthly Averages<br />
**Spatial Extent:** Global<br />
**Spatial Resolution:** 0.1° x 0.1°<br />
**Data Units:** Grams of Carbon per square meter per day (g Carbon/m²/day)<br />
**Data Units:** Grams of Carbon per square meter per day (g Carbon/m²/day)<br />
**Data Type:** Research<br />
**Data Latency:** Less than a year, typically 6 months<br />

This dataset presents a variety of carbon flux parameters derived from the Más Informada Carnegie-Ames-Stanford-Approach (MiCASA) model. The model’s input data includes air temperature, precipitation, incident solar radiation, a soil classification map, and several satellite derived products. All model calculations are driven by analyzed meteorological data from NASA’s Modern-Era Retrospective analysis for Research and Application, Version 2 (MERRA-2). The resulting product provides global, daily and monthly mean data at 0.1 degree resolution from January 2001 through present. It includes carbon flux variables expressed in units of grams of carbon per square meter per day (g Carbon/m²/day) from net primary production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), fuel wood burning emissions (FUEL), net ecosystem exchange (NEE), and net biosphere exchange (NBE). The latter two are derived from the first four (see Scientific Details below). An atmospheric correction variable (ATMC) is also provided to account for long term historical changes in the uptake of carbon dioxide (CO₂) from the atmosphere to the biosphere. Monthly mean layers are computed by taking the mean carbon flux of all days in the month. MiCASA is an extensive revision of the CASA – Global Fire Emissions Database, version 3 (CASA-GFED3) product. CASA-GFED3 and earlier versions of MERRA-driven CASA-GFED carbon fluxes have been used in several atmospheric CO₂ transport studies, serve as a community standard for priors of flux inversion systems, and through the support of NASA’s Carbon Monitoring System (CMS), help characterize, quantify, understand and predict the evolution of global carbon sources and sinks.
**Data Latency:** Less than a year, typically 6 months<br /><br />

This dataset presents a variety of carbon flux parameters derived from the MiCASA model...
</Prose>

</Block>
<Block>
<Prose>
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