nasa_ccmp_wind_vectors

gap-free 6-hourly surface wind fields

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/atmosphere.yaml")
ds  = cat["nasa_ccmp_wind_vectors"].to_dask()

Working with requester pays data

Several of the datasets within the cloud data catalog are contained in requester pays storage buckets. This means that a user requesting data must provide their own billing project (created and authenticated through Google Cloud Platform) to be billed for the charges associated with accessing a dataset. To set up an GCP billing project and use it for authentication in applications:

Create a project on GCP; if this is the first time using GCP, a prompt will appear to choose a Google account to link to all GCP-related activities.
Create a Cloud Billing account associated with the project and enable billing for the project through this account.
Using Google Cloud IAM, add the Service Usage Consumer role to your account, which enables it to make billed requests on the behalf of the project.
Through command line, install the Google Cloud SDK; this can be done using conda:
```
conda install -c conda-forge google-cloud-sdk
```
Initialize the gcloud command line interface, logging into the account used to create the aforementioned project and selecting it as the default project; this will allow the project to be used for requester pays access through the command line:
```
gcloud auth login
gcloud init
```
Finally, use gcloud to establish application default credentials; this will allow the project to be used for requester pays access through applications:
```
gcloud auth application-default login
```

Metadata

url	https://podaac.jpl.nasa.gov/MEaSUREs-CCMP?sections=about
tags	['ocean', 'atmosphere']

Dataset Contents

xarray.Dataset

Dimensions:
- latitude: 628
- longitude: 1440
- time: 48392
Coordinates: (3)
- latitude
  (latitude)
  float32
  -78.375 -78.125 ... 78.125 78.375
  _CoordinateAxisType :
  Lat
  _Fillvalue :
  -9999.0
  axis :
  Y
  coordinate_defines :
  center
  long_name :
  Latitude in degrees north
  standard_name :
  latitude
  units :
  degrees_north
  valid_max :
  78.375
  valid_min :
  -78.375
```
array([-78.375, -78.125, -77.875, ...,  77.875,  78.125,  78.375],
      dtype=float32)
```
- longitude
  (longitude)
  float32
  0.125 0.375 ... 359.625 359.875
  _CoordinateAxisType :
  Lon
  _Fillvalue :
  -9999.0
  axis :
  X
  coordinate_defines :
  center
  long_name :
  Longitude in degrees east
  standard_name :
  longitude
  units :
  degrees_east
  valid_max :
  359.875
  valid_min :
  0.125
```
array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,
       3.59875e+02], dtype=float32)
```
- time
  (time)
  datetime64[ns]
  1987-07-10 ... 2020-10-04T18:00:00
  _CoordinateAxisType :
  Time
  _Fillvalue :
  -9999.0
  axis :
  T
  long_name :
  Time of analysis
  standard_name :
  time
```
array(['1987-07-10T00:00:00.000000000', '1987-07-10T06:00:00.000000000',
       '1987-07-10T12:00:00.000000000', ..., '2020-10-04T06:00:00.000000000',
       '2020-10-04T12:00:00.000000000', '2020-10-04T18:00:00.000000000'],
      dtype='datetime64[ns]')
```

Data variables: (3)

nobs

(time, latitude, longitude)

float32

dask.array<chunksize=(2000, 157, 180), meta=np.ndarray>

_Fillvalue :: -9999.0
ancillary_variables :: uwnd vwnd
long_name :: number of observations used to derive wind vector components
standard_name :: number_of_observations
units :: count
valid_max :: 2.0
valid_min :: 0.0





  
      Array  Chunk 
  
  
     Bytes  175.05 GB   226.08 MB 
     Shape  (48392, 628, 1440)   (2000, 157, 180) 
     Count  801 Tasks  800 Chunks 
     Type  float32  numpy.ndarray

uwnd

(time, latitude, longitude)

float32

dask.array<chunksize=(2000, 157, 180), meta=np.ndarray>

_Fillvalue :: -9999.0
height :: 10 meters above sea-level
long_name :: u-wind vector component at 10 meters
standard_name :: eastward_wind
units :: m s-1
valid_max :: 20.291385650634766
valid_min :: -21.261892318725586





  
      Array  Chunk 
  
  
     Bytes  175.05 GB   226.08 MB 
     Shape  (48392, 628, 1440)   (2000, 157, 180) 
     Count  801 Tasks  800 Chunks 
     Type  float32  numpy.ndarray

vwnd

(time, latitude, longitude)

float32

dask.array<chunksize=(2000, 157, 180), meta=np.ndarray>

_Fillvalue :: -9999.0
height :: 10 meters above sea-level
long_name :: v-wind vector component at 10 meters
standard_name :: northward_wind
units :: m s-1
valid_max :: 22.860544204711914
valid_min :: -18.280412673950195





  
      Array  Chunk 
  
  
     Bytes  175.05 GB   226.08 MB 
     Shape  (48392, 628, 1440)   (2000, 157, 180) 
     Count  801 Tasks  800 Chunks 
     Type  float32  numpy.ndarray

Attributes: (36)
Conventions :
CF-1.6
base_date :
Y2020 M08 D06
comment :
none
contact :
Remote Sensing Systems, support@remss.com
contributor_name :
Carl Mears, Joel Scott, Frank Wentz, Ross Hoffman, Mark Leidner, Robert Atlas, Joe Ardizzone
contributor_role :
Co-Investigator, Software Engineer, Project Lead, Co-Investigator, Software Engineer, Principal Investigator, Software Engineer
creator_email :
support@remss.com
creator_name :
Remote Sensing Systems
creator_url :
http://www.remss.com/
data_structure :
grid
date_created :
20200820T130255Z
description :
RSS VAM 6-hour analyses starting from the NCEP GFS wind analyses
geospatial_lat_max :
78.375 degrees
geospatial_lat_min :
-78.375 degrees
geospatial_lat_resolution :
0.25 degrees
geospatial_lat_units :
degrees_north
geospatial_lon_max :
359.875 degrees
geospatial_lon_min :
0.125 degrees
geospatial_lon_resolution :
0.25 degrees
geospatial_lon_units :
degrees_east
history :
20200820T130255ZZ - netCDF generated from original data using IDL 8.5 by RSS using files: CCMP_RT_Wind_Analysis_20200806_V02.0_L3.0_RSS.nc
institute_id :
RSS
institution :
Remote Sensing Systems (RSS)
keywords :
surface winds, ocean winds, wind speed/wind direction, MEaSUREs, 10km - < 50km or approximately 0.09 degree - < 0.5 degree
keywords_vocabulary :
GCMD Science Keywords
license :
available for public use with proper citation
netcdf_version_id :
4.2
processing_level :
L3.0
product_version :
v2.1
project :
RSS Cross-Calibrated Multi-Platform Ocean Surface Wind Project
publisher_email :
support@remss.com
publisher_name :
Remote Sensing Systems
publisher_url :
http://www.remss.com/
references :
Hoffman et al., Journal of Atmospheric and Oceanic Technology, 2013; Atlas et al., BAMS, 2011; Atlas et al., BAMS, 1996
summary :
CCMP_RT V2.1 has been created using the same VAM as CCMP V2.0 Input data have changed and now include all V7 radiometer data from RSS, V8.1 GMI data from RSS, scatterometer data from RSS (V4 QuikSCAT and V1.2 ASCAT), quality checked moored buoy data from NDBC, PMEL, and ISDM, and NCEP GFS 0.25 degree data for the background field.
title :
RSS CCMP_RT V2.1 derived surface winds (Level 3.0)