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.day.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.day.L3.AAI.multi-sensor.multi-platform.MSAAI.1-7.r1')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.AEROSOL.day.L3.AAI.multi-sensor.multi-platform.MSAAI.1-7.r1')
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 | 1D |
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 |
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 | int16 |
fill_value | 2147483647 |
size | 64800 |
shape | 180, 360 |
chunk_sizes | 180, 360 |
file_chunk_sizes | 180, 360 |
data_type | int32 |
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 |
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 03-11-1978 |
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 | 2017-07-07 15:32:16 - Product generated using create_msaai_data_record.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 |