sam_ngaqua_qobs_eqx_2d

2D fields from a near-global Aquaplanet Simulation with the System for Atmospheric Modeling

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["sam_ngaqua_qobs_eqx_2d"].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

tags	['atmosphere', 'model']

Dataset Contents

xarray.Dataset

Dimensions:
- time: 1920
- x: 5120
- y: 2560

Coordinates: (3)

time

(time)

float64

101.6 100.5 101.6 ... 180.5 180.5

long_name :: time
units :: day

array([101.625   , 100.541656, 101.583344, ..., 180.416656, 180.458344,
       180.5     ])

x

(x)

float32

0.0 4000.0 ... 20476000.0

units :: m

array([0.0000e+00, 4.0000e+03, 8.0000e+03, ..., 2.0468e+07, 2.0472e+07,
       2.0476e+07], dtype=float32)

y

(y)

float32

0.0 4000.0 ... 10236000.0

units :: m

array([0.0000e+00, 4.0000e+03, 8.0000e+03, ..., 1.0228e+07, 1.0232e+07,
       1.0236e+07], dtype=float32)

Data variables: (31)

CLD

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Cloud Frequency
units :: %





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

CLDC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Cloud cover (Instantaneous)
units :





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

CWP

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Cloud Water Path
units :: mm





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

IWP

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Ice Path
units :: mm





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

LHF

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Latent Heat Flux
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

LWNS

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net LW at the surface
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

LWNSC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net clear-sky LW at the surface
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

LWNT

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net LW at TOA
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

LWNTC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Clear-Sky Net LW at TOA
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

PSFC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: P at the surface
units :: mbar





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

PW

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Precipitable Water
units :: mm





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

Prec

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Surface Precip. Rate
units :: mm/day





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SHF

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Sensible Heat Flux
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SOLIN

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Solar TOA insolation
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SST

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Sea Surface Temperature
units :: K





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SWNS

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net SW at the surface
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SWNSC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net Clear-sky SW at the surface
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SWNT

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net SW at TOA
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SWNTC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Net Clear-Sky SW at TOA
units :: W/m2





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

SWVP

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Saturated Water Vapor Path
units :: mm





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

TA

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Mass-weighted Column Temperature
units :: K





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

TB

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Cloud top temperature (Instantaneous)
units :: K





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

U200

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: U at 200 mb
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

U850

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: 850 mbar zonal velocity
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

USFC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: U at the surface
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

V200

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: V at 200 mb
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

V850

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: 850 mbar meridional velocity
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

VSFC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: V at the surface
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

W500

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: W at 500 mb
units :: m/s





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

ZC

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Cloud top height (Instantaneous)
units :: km





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

ZE

(time, y, x)

float32

dask.array<chunksize=(1, 2560, 5120), meta=np.ndarray>

long_name :: Echo top height (Instantaneous)
units :: km





  
      Array  Chunk 
  
  
     Bytes  100.66 GB   52.43 MB 
     Shape  (1920, 2560, 5120)   (1, 2560, 5120) 
     Count  1921 Tasks  1920 Chunks 
     Type  float32  numpy.ndarray

Attributes: (0)