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The annual chlorophyll-a (Chl-a) data are included in the MODIS L3m Chl-a collection (DOI: 10.5067/AQUA/MODIS/L3M/CHL/2022.0). You can identify and filter the annual products by searching for granule IDs that match the pattern: *.L3m.YR.CHL.chlor_a.* For additional details on the naming structure, t...

Hello, Could you please provide more details about how you processed the OLCI imagery? Additional details would help us better understand and identify the issues you are encountering. Based on what you provided, I suggest you check your output Rrs values first to make sure they are within a reasonab...

Hello, the following are the answers to your questions. Hope it helps. 1) Negative values other than –99 These are observed negatives that passed the initial filtering. If a value exceeded the 3-sigma uncertainty, it was retained as potentially real (even if negative). Values within 3-sigma were mas...

Hello Tian, Apologies for the delayed response. Compared to MODIS, the PACE OCI nFLH algorithm uses additional bands — specifically nLw(650, 660, 710, and 720), versus nLw(667 and 748) for MODIS. The ATBD and corresponding validation are still under development, so we appreciate your patience as we ...

For the NRT data, they will be available within a couple of hours. You can refer to this webpage for more details: https://www.earthdata.nasa.gov/learn/earth-observation-data-basics/data-latency

Hi Len, The near real-time (NRT) Kd490 data is included in the MODISA_L2_OC_NRT collection on NASA Earthdata Search. You can search and download granules there. For more efficient data access, I recommend using the Python package earthaccess, which streamlines searching and downloading L2 data. Here...

Hi Kesav, You can download the corresponding L2 files from Earthdata search (https://search.earthdata.nasa.gov/search), and view them in SeaDAS (https://seadas.gsfc.nasa.gov). There is a way to look at which flags were applied to which pixels in SeaDAS (https://www.youtube.com/watch?v=wx08vP2JorA&am...

On Earthdata Search, if you type in the search box or select "Keywords > Oceans > Sea Surface Temperature", you'll see all matching collections listed on the right side. You can choose to view them as a list or in a table. In the table view, you'll find useful information such as Long Name...

Hello,

Sorry, CDO is not our software, so I can't provide a solid answer to your question. If you are using our L3M data, I recommend using our software SeaDAS (https://seadas.gsfc.nasa.gov) for regridding/remapping purposes.

Best,
Guoqing

Yes, you can automate the download of NOAA20/21 VIIRS SST data using the Earthdata Python package earthaccess. The URL you referenced points to direct data access, but earthaccess can streamline the process by querying and downloading data directly from Earthdata's API. Here’s a general approach you...