Identification

Title

Middle East AOD550 Forecasts & Observations, 2018–2019

Abstract

This dataset is used in a study (Lee et al. 2021) in which we compared total aerosol forecasts in the Middle East from three publicly available models, from NASA and NOAA in the U.S. and from CAMS in Europe. We used forecasts issued twice daily during all of 2018–2019. From each model run we validated forecasts of total aerosol optical depth at 550 nm (AOD550) against observations made from 20 ground-based AERONET stations across the region. We found that the NASA GEOS-5 model performed the best overall in the Middle East, the CAMS NRT model was second-best, and the NOAA NGAC model generally performed poorly. Because dust storms are a relatively common phenomenon in the Middle East and bring significant disruptions both to solar power generation and to society in general, we also examined how well the three forecast models performed during two dust storm events. Reference: Lee, J. A., C. A. Gueymard, and P. A. Jiménez, 2021: Performance of aerosol optical depth forecasts over the Middle East: Multi-model analysis and validation. J. Geophys. Res. Atmos., submitted. GEOS-5 model forecast data: 14.8 GB total, .nc4 format, models initialized at 00 & 12 UTC daily from 1 Jan 2018–31 Dec 2019, with 1-hourly forecasts (out to 240 h for 00 UTC cycles, and 120 h for 12 UTC cycles), 105 latitude points (16.0 deg N – 42.0 deg N, 0.25 deg grid spacing) x 135 longitude points (24.0625 deg E – 65.9375 deg E, 0.3125 deg grid spacing). One file per forecast valid time. Variable: Total aerosol optical extinction at 550 nm. Recent GEOS-5 data can be freely downloaded from https://www.nccs.nasa.gov/services/data-collections/coupled-products/geos5-forecast. NGAC model forecast data: 1.1 GB total, .grib2 format, models initialized at 00 & 12 UTC daily from 1 Jan 2018–31 Dec 2019, with 3-hourly forecasts out to 120 h, 27 latitude points (16.0 deg N – 42.0 deg N, 1.0 deg grid spacing) x 43 latitude points (24.0 deg E – 66.0 deg E, 1.0 deg grid spacing). One file per forecast cycle (contains all lead times). Variable: Total aerosol optical depth at 550 nm. Limited NGAC data can be freely downloaded from https://www.nco.ncep.noaa.gov/pmb/products/ngac. CAMS NRT model forecast data: 559 GB total, .nc format, models initialized at 00 & 12 UTC daily from 1 Jan 2018–31 Dec 2019, with 1-hourly forecasts out to 120 h, global data at 0.4 deg grid spacing (i.e., not geographically subsetted). One file per forecast valid time. Variable: Total aerosol optical depth at 550 nm. NOTE: Archived CAMS NRT data are only available publicly every 3 h, so the in-between times were processed as linear interpolations between surrounding 3-hourly times. File variables and names were also processed to mimic the files that can be downloaded in real-time from CAMS. CAMS data is subject to this license: https://www.regional.atmosphere.copernicus.eu/doc/CAMS_data_license_final.pdf. 3-hourly archived CAMS data can be freely downloaded from https://apps.ecmwf.int/datasets/data/cams-nrealtime/levtype=sfc/. AERONET observation data: 77 MB total, .csv format, daily-average, 1-h average, and instantaneous L1.5 data (and L2 data when available) from 20 AERONET sites in the Middle East: Tuz_Golu_3 and IMS-METU-ERDEMLI in Turkey; Nicosia, AgiaMarina_Xyliatou, and CUT-TEPAK in Cyprus; Migal, Technion_Haifa_IL, Wiezmann_Institute, SEDE_BOKER, and Eilat in Israel; Cairo_EMA_2, El_Farafra, and Qena_SVU in Egypt; KAUST_Campus in Saudi Arabia; IASBS in Iran; Shagaya_Park and Kuwait_University in Kuwait; and Mezaira, Masdar_Institute, and DEWA_ResearchCentre in UAE. Date range: 1 Jan 2018–2 Jan 2020. L1 (raw) data is also provided for 1–31 Jul 2018 at Mezaira, and for 20–30 Apr 2018 at Shagaya_Park to span two dust storm events. Variables: Total aerosol optical depth at 550 nm and Ã…ngström exponent. AERONET data can be freely downloaded from https://aeronet.gsfc.nasa.gov/new_web/data.html.

Resource type

dataset

Resource locator

https://gdex.ucar.edu/dataset/id/14fae224-6b53-47c7-9a49-cfb240adc4be.html

protocol: https

applicationProfile: browser

name: Middle East AOD550 Forecasts & Observations, 2018–2019

description: Metadata Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

Keywords

Keyword set

keyword value

Dataset

originating controlled vocabulary

title

DataCite Resource Type

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > AEROSOLS > AEROSOL OPTICAL DEPTH/THICKNESS

EARTH SCIENCE > ATMOSPHERE > AEROSOLS > DUST/ASH/SMOKE

EARTH SCIENCE > HUMAN DIMENSIONS > ECONOMIC RESOURCES > ENERGY PRODUCTION/USE > SOLAR ENERGY PRODUCTION/USE

EARTH SCIENCE SERVICES > MODELS > WEATHER RESEARCH/FORECAST MODELS

originating controlled vocabulary

title

NASA/GCMD Earth Science Keywords

reference date

date type

revision

effective date

2018-03-15

Keyword set

keyword value

Other > Models > Ecmwfifs > Ecmwf Integrated Forecast System

Other > Models > Geos > Geos-5 > Goddard Eos Data Assimilation System-5

Other > Models > Ncep-Gfs > Ncep Global Forecast System

originating controlled vocabulary

title

NASA/GCMD Earth Science Keywords

reference date

date type

revision

effective date

2018-03-15

Geographic location

West bounding longitude

24.0

East bounding longitude

66.0

North bounding latitude

42.0

South bounding latitude

16.0

Temporal reference

Temporal extent

Begin position

2018-01-01

End position

2019-12-31

Dataset reference date

date type

publication

effective date

2021-03-17

date type

modified

effective date

2021-03-03

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

application/x-tar

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License.

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Applications Laboratory

email address

jaredlee@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

UCAR/NCAR - GDEX

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata date

2022-10-20T10:12:05-06:00

Metadata language

eng; USA