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Release v2.0.6 (#419)
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_The PR name should be the version to be deployed (ex: v1.0.1)_

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# Changelog v2.0.6

## πŸŽ‰ Features
- πŸ¦—

## πŸš€ Improvements
- Add EMIT/AVIRIS-3 to featured insight and its link to banner [#417]
- Change published on date for insights to CST [#413]

## πŸ“Š Dataset Updates
- Add
[EMIT/AVIRIS-3](794fde3)
data insight
- Content Updates [#410]

## πŸ› Fixes
- πŸ¦—
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paridhi-parajuli authored Jun 25, 2024
2 parents 6120cb4 + 4f7ddbd commit 4537aa3
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2 changes: 1 addition & 1 deletion .veda/ui
Submodule ui updated 0 files
8 changes: 6 additions & 2 deletions datasets/emit-ch4plume-v1.data.mdx
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**Data Latency:** EMIT plume complex identification primarily occurs about a week after the observation and can vary with ISS data downlink rates and the need for manual review. Some plume complexes may be identified rapidly, but with improving algorithms, additional older plume complexes may continue to appear in the dataset over time.

Methane is a strong greenhouse gas that is invisible to the human eye. Large methane emissions, typically referred to as point source emissions, represent a significant proportion of total methane emissions from the production, transport, and processing of oil and natural gas, landfills, and other sources. By measuring the spectral fingerprint of methane, EMIT can map areas of high methane concentration over background levels in the atmosphere, identifying plume complexes, and estimating the methane enhancements. This dataset includes methane plume complexes measured within the extent and timeframe of EMIT observations. EMIT is on the International Space Station and therefore does not sample everywhere on Earth nor can methane plumes be derived for all locations observed.

The EMIT Methane Plume Complex data files can be directly accessed [from the LP DAAC via Earthdata Search](https://search.earthdata.nasa.gov/search/granules?p=C2748088093-LPCLOUD).
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<Prose>
**Attention!**
The location of the markers in the visualization environment below represent the location of maximum enhancement within a plume and does not indicate a source location.
<div style={{ border: '2px solid red', padding: '10px', display: 'inline-block', color: '#1b2631' }}>
<span style={{ color: 'red', fontWeight: 'bold' }}>Attention!</span>
The location of the markers in the visualization environment below represent the location of maximum enhancement within a plume and does not indicate a source location.
</div>
</Prose>
</Block>
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116 changes: 108 additions & 8 deletions datasets/micasa-carbonflux-daygrid-v1.data.mdx
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Expand Up @@ -362,7 +362,7 @@ layers:
- 0
- 20
sourceParams:
assets: nee
assets: nbe
colormap_name: coolwarm
rescale:
- -4
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spatialExtent: Global
temporalResolution: Daily
unit: g Carbon/mΒ²/day
- id: micasa-co2-atmc-m
stacCol: micasa-carbonflux-monthgrid-v1
name: (Monthly Mean) Atmospheric Correction (ATMC)
type: raster
description: A correction to account for long-term historical changes in the uptake of COβ‚‚ from the atmosphere to the biosphere
initialDatetime: newest
projection:
id: 'equirectangular'
basemapId: 'light'
zoomExtent:
- 0
- 20
sourceParams:
assets: atmc
colormap_name: purd
rescale:
- 0
- 8
compare:
datasetId: micasa-carbonflux-grid-v1
layerId: micasa-co2-atmc-m
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
}
legend:
unit:
label: g Carbon/mΒ²/day
type: gradient
min: 0
max: 8
stops:
- '#F7FCFD'
- '#DCE9F2'
- '#B5CCE3'
- '#96ACD2'
- '#8C7DBA'
- '#894DA3'
- '#821580'
- '#4D004B'
analysis:
metrics:
- mean
sourceParams:
dst_crs: "+proj=cea"
info:
source: NASA
spatialExtent: Global
temporalResolution: Monthly
unit: g Carbon/mΒ²/day
- id: micasa-co2-atmc
stacCol: micasa-carbonflux-daygrid-v1
name: (Daily) Atmospheric Correction (ATMC)
type: raster
description: A correction to account for long-term historical changes in the uptake of COβ‚‚ from the atmosphere to the biosphere
initialDatetime: newest
projection:
id: 'equirectangular'
basemapId: 'light'
zoomExtent:
- 0
- 20
sourceParams:
assets: atmc
colormap_name: purd
rescale:
- 0
- 8
compare:
datasetId: micasa-carbonflux-grid-v1
layerId: micasa-co2-atmc
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
}
legend:
unit:
label: g Carbon/mΒ²/day
type: gradient
min: 0
max: 8
stops:
- '#F7FCFD'
- '#DCE9F2'
- '#B5CCE3'
- '#96ACD2'
- '#8C7DBA'
- '#894DA3'
- '#821580'
- '#4D004B'
analysis:
metrics:
- mean
sourceParams:
dst_crs: "+proj=cea"
info:
source: NASA
spatialExtent: Global
temporalResolution: Daily
unit: g Carbon/mΒ²/day
---

<Block>
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**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 MΓ‘s 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 December 2023. It includes carbon flux variables expressed in units of grams of carbon per square meter per day (g Carbon/mΒ²/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). 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 carbon dioxide (COβ‚‚) 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.
This dataset presents a variety of carbon flux parameters derived from the MΓ‘s 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 December 2023. It includes carbon flux variables expressed in units of grams of carbon per square meter per day (g Carbon/mΒ²/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 (COβ‚‚) 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 COβ‚‚ 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.

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<Prose>
## Source Data Product Citation
Brad Weir and Lesley Ott (2024), GEOS-Carb MiCASA Daily NPP Rh Fire Fuel Fluxes 0.1 degree x 0.1 degree V1, Greenbelt, MD, USA, NASA Center for Climate Simulation (NCCS) DataPortal, Accessed: [Data Access Date], https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/netcdf
Brad Weir and Lesley Ott (2024), MiCASA Daily NPP Rh Fire Fuel Fluxes 0.1 degree x 0.1 degree V1, Greenbelt, MD, USA, NASA Center for Climate Simulation (NCCS) DataPortal, Accessed: [Data Access Date], https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/netcdf

## Version History
The current dataset version is MiCASA Land Carbon Flux v1, which replaced the CASA-GFED3 Land Carbon Flux v3 dataset in the US GHG Center in April 2024. Summary of dataset update:
- MiCASA is an extensive revision of CASA-GFED3, which uses updated input data sources for improved spatial and temporal resolution (see Scientific Details above for information on input data)
- Spatial resolution increase from 0.5Β° to 0.1Β°
- Addition of daily data
- Temporal resolution increase from monthly to daily
- Additional data added with availability from January 2001–December 2023 (previous version data was only available from January 2003–December 2017)
- Inclusion of the Net Biosphere Exchange (NBE) data layer
- Inclusion of the Net Biosphere Exchange (NBE) and Atmospheric Correction (ATMC) data layers
- MiCASA v1 data was delivered to the US GHG Center in Cloud Optimized GeoTIFF (COG) format, whereas CASA-GFED3 data was delivered in NetCDF format and then transformed into COG

## Disclaimer
All data is provided to the US GHG Center in Cloud Optimized GeoTIFF (COG) format. Careful quality checks were used to ensure data transformation was performed correctly by the data producer.
This data product is provided to the US GHG Center in Cloud Optimized GeoTIFF (COG) format. Careful quality checks are used to ensure data transformation has been performed correctly.
The full title of this dataset, MiCASA Daily NPP Rh Fire Fuel Fluxes 0.1 degree x 0.1 degree V1, has been shortened for display on the US GHG Center website. The short name of the source dataset is MICASA_D_FLUX (daily data) and MICASA_M_FLUX (monthly mean data), and it is referred to as micasa-carbonflux-daygrid-v1 (daily data) and micasa-carbonflux-monthgrid-v1 (monthly mean data) within the Center system. The source dataset in NetCDF format is available from the [NCCS DataPortal](https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/netcdf/). A user guide is available at the following link. [https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/MiCASA_README.pdf](https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/MiCASA_README.pdf).

## Scientific Details
Satellite derived products used as inputs for MiCASA include Moderate Resolution Imaging Spectroradiometer (MODIS) land cover classification (MCD12Q1), vegetation continuous fields (MOD44B), burned area (MCD64A1), and nadir BRDF-adjusted reflectances (MCD43A1). The fractional absorption of solar radiation by the vegetation canopy (fPAR), used for calculating NPP, was derived from the Red and Near-Infrared reflectances from the MCD43A1 product. All MODIS products are from Collection 6.1 except MOD44B which is held at Collection 6 to include high-latitude data. Additional flux variables that can be derived using this daily product are listed below:
- NEE: daily net ecosystem exchange, NEE = Rh - NPP
- NBE: daily net biosphere exchange, net flux from the ecosystem, NBE = Rh + FIRE + FUEL - NPP
- Net Ecosystem Exchange (NEE): NEE = Rh - NPP - ATMC
- Net Biosphere Exchange (NBE): NBE = NEE + FIRE + FUEL

## Key Publications
Weir, B. & Ott, L. E. (2024). Description of MiCASA Version 1 Land Carbon Flux Products. [https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/MiCASA_README.pdf](https://portal.nccs.nasa.gov/datashare/gmao/geos_carb/MiCASA/v1/MiCASA_README.pdf)
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5 changes: 3 additions & 2 deletions overrides/home/banner.tsx
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} from '$veda-ui/@devseed-ui/theme-provider';
import Hug from "$veda-ui-scripts/styles/hug";
import { getString } from 'veda';
import { Link } from "$veda-ui/react-router-dom";

const BANNER_KEY = 'dismissedBannerUrl'

Expand Down Expand Up @@ -77,9 +78,9 @@ export default function Banner() {
<BannerBox className="banner">
<BannerContainer>
<BannerContent>
<a href={getString('tempBannerUrl')?.other || "" } target="_blank">
<Link to={getString('tempBannerUrl')?.other || "" } target="_blank">
{ getString('tempBanner').other }
</a>
</Link>
</BannerContent>
</BannerContainer>
<Button onClick={onClick} variation="base-text" fitting="skinny">
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2 changes: 1 addition & 1 deletion package.json
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@@ -1,7 +1,7 @@
{
"name": "veda-config",
"description": "Configuration for Veda",
"version": "2.0.5",
"version": "2.0.6",
"source": "./.veda/ui/app/index.html",
"license": "Apache-2.0",
"scripts": {
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2 changes: 1 addition & 1 deletion stories/discovering-large-methane-emissions.stories.mdx
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alt: An image of the Earth from space with a rendering of the international space station in the foreground. There is a lighter area imposed on the Earth’s surface to suggest the observation swath of EMIT with a rendered plume observation (these components are not to scale).
author:
name: NASA/JPL-Caltech
pubDate: 2023-08-24
pubDate: 2023-08-24 CST
taxonomy:
- name: Topics
values:
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