Dataset: ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from the Multi-Sensor UV Absorbing Aerosol Index (MS UVAI) algorithm, Version 1.7#

Dataset identifier: esacci.AEROSOL.climatology.L3.AAI.multi-sensor.multi-platform.MSAAI.1-7.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.AEROSOL.climatology.L3.AAI.multi-sensor.multi-platform.MSAAI.1-7.r1')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.0
Bounding box latitude (°) -90.0 to 90.0
Time range 1978-11-01 to 2015-12-31
Time period 1M

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable Long name Units
absorbing_aerosol_index Absorbing aerosol index averaged for each grid cell 1
number_of_observations Number of observations for each grid cell 1
solar_zenith_angle Solar zenith angle averaged for each grid cell degrees
positive_absorbing_aerosol_index Positive absorbing aerosol index averaged for each grid cell 1
number_of_positive_observations Number of positive observations for each grid cell 1

Full variable metadata#

absorbing_aerosol_index#

Field Value
long_name Absorbing aerosol index averaged for each grid cell
units 1
orig_data_type float32
fill_value None
size 64800
shape 180, 360
chunk_sizes 180, 360
file_chunk_sizes 180, 360
data_type float32
dimensions latitude, longitude
file_dimensions latitude, longitude

number_of_observations#

Field Value
long_name Number of observations for each grid cell
units 1
orig_data_type int32
fill_value 9223372036854775807
size 64800
shape 180, 360
chunk_sizes 180, 360
file_chunk_sizes 180, 360
data_type int64
dimensions latitude, longitude
file_dimensions latitude, longitude

solar_zenith_angle#

Field Value
long_name Solar zenith angle averaged for each grid cell
units degrees
orig_data_type float32
fill_value None
size 64800
shape 180, 360
chunk_sizes 180, 360
file_chunk_sizes 180, 360
data_type float32
dimensions latitude, longitude
file_dimensions latitude, longitude

positive_absorbing_aerosol_index#

Field Value
long_name Positive absorbing aerosol index averaged for each grid cell
units 1
orig_data_type float32
fill_value None
size 64800
shape 180, 360
chunk_sizes 180, 360
file_chunk_sizes 180, 360
data_type float32
dimensions latitude, longitude
file_dimensions latitude, longitude

number_of_positive_observations#

Field Value
long_name Number of positive observations for each grid cell
units 1
orig_data_type int32
fill_value 9223372036854775807
size 64800
shape 180, 360
chunk_sizes 180, 360
file_chunk_sizes 180, 360
data_type int64
dimensions latitude, longitude
file_dimensions latitude, longitude

Full dataset metadata#

Field Value
title ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from the Multi-Sensor UV Absorbing Aerosol Index (MS UVAI) algorithm, Version 1.7
description Multi-Sensor AAI field for December
project Climate Change Initiative - European Space Agency
references http://www.esa-aerosol-cci.org
product_version 1-7
source TOMS AAI version 8, GOME-1 AAI version 5.0, SCIAMACHY AAI version 5.1, OMI AAI version 1.1.1, GOME-2 AAI version 1.35
history 2017-07-24 09:42:53 - Product generated using create_msaai_monthly_climatology.pro
comment Sun glint and solar eclipse events were filtered out.
ecv AEROSOL
institute Royal Netherlands Meteorological Institute
processing_level L3
product_string MSAAI
data_type AAI
abstract The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.7. L3 products are provided as daily and monthly gridded products as well as a monthly climatology. For further details about these data products please see the linked documentation.
publication_date 2020-08-27T16:02:30
uuid 2e656d34d016414c8d6bced18634772c
catalog_url https://catalogue.ceda.ac.uk/uuid/2e656d34d016414c8d6bced18634772c
sensor_id multi-sensor
platform_id multi-platform
cci_project AEROSOL