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RE: Environmental drivers of chinook catch

MC
Matt Callahan, modified 3 Years ago.

Environmental drivers of chinook catch

Youngling Posts: 6 Join Date: 6/12/17 Recent Posts

Examine possible environmental drivers of chinook catches in NOAA Bering Sea surveys. This will serve as a practice run for future analysis using commercial fisheries data.

Satellite environmental data sources:

CRW SST https://coastwatch.pfeg.noaa.gov/erddap/griddap/NOAA_DHW.graph?CRW_SST

Chlorophyll ESA color https://coastwatch.pfeg.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorDaily.graph

EKE derived from https://resources.marine.copernicus.eu/product-detail/SEALEVEL_GLO_PHY_L4_NRT_OBSERVATIONS_008_046/DATA-ACCESS

Wind https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdQAwind1day.html

MC
Matt Callahan, modified 3 Years ago.

Chinook CPUE as a function of wind

Youngling Posts: 6 Join Date: 6/12/17 Recent Posts
Chinook CPUE as a function of wind
U
Anonymous, modified 3 Years ago.

RE: Environmental drivers of chinook catch

Hi Matt,

This looks great. I'd suggest one change. 

This sensor (MetOp-A  ASCAT) used in this dataset is no longer operational.

Wind https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdQAwind1day.html

Its end of life happened earlier this month. 

I'd suggest switching to this one:

Wind https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdQBwind1day.html  

 

-Dale

MC
Matt Callahan, modified 3 Years ago.

RE: Environmental drivers of chinook catch

Youngling Posts: 6 Join Date: 6/12/17 Recent Posts

As any president who wants a long time series says: 4 more years!

Though the discontinuation of Metop A is a compelling reason for B.

I downloaded the Metop B and compared wind vectors for my stations. The correlation isn't as tight as I'd hoped. Should the Metop B vectors be truer to actual wind?

DR
Dale Robinson, modified 3 Years ago.

RE: Environmental drivers of chinook catch

Youngling Posts: 16 Join Date: 9/26/16 Recent Posts

The satellite wind measurement shows the mean wind values at the times that the satellite flies over. If the time doesn't match your station data, that could cause the difference. Are you using the mean station winds over the day? 

Maybe try plotting scalar winds instead of vector? Scalar MetOp-B ACSCAT winds are is the dataset below. Use the "mod" variable

https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdQBdivmod1day.graph

MC
Matt Callahan, modified 3 Years ago.

RE: Environmental drivers of chinook catch

Youngling Posts: 6 Join Date: 6/12/17 Recent Posts

Apologies, my previous explanation was unclear. The above plot showed regressions of the Metop A (x_wind_A and y_wind_A axes) versus the Metop B (x_wind_B and y_wind_B axes). I extracted both datasets, joined both of them to my points of interest, and this is a comparison of the two satellite wind products at my points, when both products are available (2013 on, overlapping coverage).

DR
Dale Robinson, modified 1 Month ago.

RE: Environmental drivers of chinook catch

Youngling Posts: 16 Join Date: 9/26/16 Recent Posts

Okay, I get it.

Metop-A was at the end of its life. So, yes, I would trust Metop B more.  The latest sensor, Metop C, is flying. One of my milestones for next year is to get that up on ERDDAP. But, our colleague at the Gulf of America node has those data on his ERDDAP now. 

https://cwcgom.aoml.noaa.gov/erddap/griddap/ASCAT_WINDS_METOP_C_AOML.graph

JS
Jennifer Sevadjian, modified 3 Years ago.

RE: Environmental drivers of chinook catch

Youngling Posts: 15 Join Date: 6/13/17 Recent Posts

If you are interested in snow as well:

I checked with my contact at the National Snow and Ice Data Center and below is some info on snow data that you may find of interest.

 

For snow depth:

Canadian Meteorological Center (CMC) Daily Snow Depth Analysis Data https://nsidc.org/data/nsidc-0447

This contains snow depth and SWE values. It only goes back to 1998 but it has a high temporal resolution of 1 day and a spatial resolution of 24 x 24 km (which might be too coarse for their purposes). The data are available in ASCII or GeoTIFF format.

 

SNODAS https://nsidc.org/data/g02158

This has the advantage that it has a high spatial resolution (1 x 1 km), but it only goes back to 2003 and it is model output rather than direct observations. This is meant to support hydrological modeling and analysis, so could be a good one for their project.

 

For snow cover:

Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent https://nsidc.org/data/nsidc-0046

This goes back to 1966 and has a resolution of 25x25km, the sticking point might be that the data are in binary format

 

There are a lot of MODIS products for snow cover, they go back to the year 2000. A couple that might be worth looking at are:

MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid https://nsidc.org/data/MOD10A1/

MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid https://nsidc.org/data/myd10a1

 

This data set may also be of interest for their project:

Timing and Statistics of Autumn and Spring Annual Snow Cover for the Northern Hemisphere, 1972 to 2000, Version 1
https://nsidc.org/data/G02168/versions/1

This external website is also always a good one to check out if you are interested in snow cover:

https://climate.rutgers.edu/snowcover/

 

And it may be worth them asking their local national weather service office, to see if they have any recommendations for local data they could use?

 

And of course if the user wants to reach out directly to us at nsidc@nsidc.org with further questions then please let them know they are welcome to do so.

MC
Matt Callahan, modified 3 Years ago.

Slide

Youngling Posts: 6 Join Date: 6/12/17 Recent Posts