---
_id: '24551'
abstract:
- lang: eng
  text: "Access to precise meteorological data is crucial to be able to plan and install
    renewable energy systems \r\nsuch as solar power plants and wind farms. In case
    of solar energy, knowledge of local irradiance and air temperature \r\nvalues
    is very important. For this, various methods can be used such as installing local
    weather stations or using \r\nmeteorological data from different organizations
    such as Meteonorm or official Deutscher Wetterdienst (DWD). An \r\nalternative
    is to use satellite reanalysis datasets provided by organizations like the National
    Aeronautics and Space \r\nAdministration (NASA) and European Centre for Medium-Range
    Weather Forecasts (ECMWF). In this paper the \r\n“Modern-Era Retrospective analysis
    for Research and Applications” dataset version 2 (MERRA-2) will be presented,
    \r\nand its performance will be evaluated by comparing it to locally measured
    datasets provided by Meteonorm and DWD. \r\nThe analysis shows very high correlation
    between MERRA-2 and local measurements (correlation coefficients of 0.99) \r\nfor
    monthly global irradiance and air temperature values. The results prove the suitability
    of MERRA-2 data for \r\napplications requiring long historical data. Moreover,
    availability of MERRA-2 for the whole world with an acceptable \r\nresolution
    makes it a very valuable dataset."
author:
- first_name: Arash
  full_name: Khatibi, Arash
  id: '43538'
  last_name: Khatibi
- first_name: Stefan
  full_name: Krauter, Stefan
  id: '28836'
  last_name: Krauter
  orcid: 0000-0002-3594-260X
citation:
  ama: 'Khatibi A, Krauter S. Comparison and Validation of Irradiance Data: Satellite
    Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD).
    In: <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and
    Exhibition (EUPVSEC 2021)</i>. ; 2021:1141-1147. doi:<a href="https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11">10.4229/EUPVSEC20212021-5BV.4.11</a>'
  apa: 'Khatibi, A., &#38; Krauter, S. (2021). Comparison and Validation of Irradiance
    Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather
    Service (DWD). <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference
    and Exhibition (EUPVSEC 2021)</i>, 1141–1147. <a href="https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11">https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11</a>'
  bibtex: '@inproceedings{Khatibi_Krauter_2021, title={Comparison and Validation of
    Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German
    Weather Service (DWD)}, DOI={<a href="https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11">10.4229/EUPVSEC20212021-5BV.4.11</a>},
    booktitle={Proceedings of the 38th European Photovoltaic Solar Energy Conference
    and Exhibition (EUPVSEC 2021)}, author={Khatibi, Arash and Krauter, Stefan}, year={2021},
    pages={1141–1147} }'
  chicago: 'Khatibi, Arash, and Stefan Krauter. “Comparison and Validation of Irradiance
    Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather
    Service (DWD).” In <i>Proceedings of the 38th European Photovoltaic Solar Energy
    Conference and Exhibition (EUPVSEC 2021)</i>, 1141–47, 2021. <a href="https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11">https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11</a>.'
  ieee: 'A. Khatibi and S. Krauter, “Comparison and Validation of Irradiance Data:
    Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service
    (DWD),” in <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference
    and Exhibition (EUPVSEC 2021)</i>, 2021, pp. 1141–1147, doi: <a href="https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11">10.4229/EUPVSEC20212021-5BV.4.11</a>.'
  mla: 'Khatibi, Arash, and Stefan Krauter. “Comparison and Validation of Irradiance
    Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather
    Service (DWD).” <i>Proceedings of the 38th European Photovoltaic Solar Energy
    Conference and Exhibition (EUPVSEC 2021)</i>, 2021, pp. 1141–47, doi:<a href="https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11">10.4229/EUPVSEC20212021-5BV.4.11</a>.'
  short: 'A. Khatibi, S. Krauter, in: Proceedings of the 38th European Photovoltaic
    Solar Energy Conference and Exhibition (EUPVSEC 2021), 2021, pp. 1141–1147.'
conference:
  end_date: 2021-09-10
  name: 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC
    2021)
  start_date: 2021-09-06
date_created: 2021-09-16T10:20:41Z
date_updated: 2022-01-06T13:29:51Z
ddc:
- '550'
department:
- _id: '53'
doi: 10.4229/EUPVSEC20212021-5BV.4.11
file:
- access_level: closed
  content_type: application/pdf
  creator: krauter
  date_created: 2022-01-06T13:26:47Z
  date_updated: 2022-01-06T13:26:47Z
  file_id: '29176'
  file_name: Khatibi Krauter - MERRA 2 vs Meteonorm - EUPVSEC 2021.pdf
  file_size: 2475972
  relation: main_file
  success: 1
file_date_updated: 2022-01-06T13:26:47Z
has_accepted_license: '1'
keyword:
- Energy potential estimation
- Photovoltaic
- Solar radiation
- Temperature measurement
- Satellite data
- Meteonorm
- MERRA-2
- DWD
language:
- iso: eng
page: 1141 - 1147
publication: Proceedings of the 38th European Photovoltaic Solar Energy Conference
  and Exhibition (EUPVSEC 2021)
publication_identifier:
  isbn:
  - 3-936338-78-7
publication_status: published
quality_controlled: '1'
status: public
title: 'Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset
  MERRA-2 vs. Meteonorm and German Weather Service (DWD)'
type: conference
user_id: '28836'
year: '2021'
...
---
_id: '21265'
abstract:
- lang: eng
  text: <jats:p>Fast-growing energy demand of the world makes the researchers focus
    on finding new energy sources or optimizing already-developed approaches. For
    an efficient use of solar and wind energy in an energy system, correct design
    and sizing of a power system is of high importance and improving or optimizing
    the process of data obtaining for this purpose leads to higher performance and
    lower cost per unit of energy. It is essential to have the most precise possible
    estimation of solar and wind energy potential and other local weather parameters
    in order to fully feed the demand and avoid extra costs. There are various methods
    for obtaining local data, such as local measurements, official organizational
    data, satellite obtained, and reanalysis data. In this paper, the Modern-Era Retrospective
    analysis for Research and Applications dataset version 2 (MERRA-2) dataset provided
    by NASA is introduced and its performance is evaluated by comparison to various
    locally measured datasets offered by meteorological institutions such as Meteonorm
    and Deutscher Wetterdienst (DWD, or Germany’s National Meteorological Service)
    around the world. After comparison, correlation coefficients from 0.95 to 0.99
    are observed for monthly global horizontal irradiance values. In the case of air
    temperature, correlation coefficients of 0.99 and for wind speed from 0.81 to
    0.99 are observed. High correlation with ground measurements and relatively low
    errors are confirmed, especially for irradiance and temperature values, that makes
    MERRA-2 a valuable dataset, considering its world coverage and availability.</jats:p>
article_number: '882'
article_type: original
author:
- first_name: Arash
  full_name: Khatibi, Arash
  id: '43538'
  last_name: Khatibi
- first_name: Stefan
  full_name: Krauter, Stefan
  id: '28836'
  last_name: Krauter
  orcid: 0000-0002-3594-260X
citation:
  ama: Khatibi A, Krauter S. Validation and Performance of Satellite Meteorological
    Dataset MERRA-2 for Solar and Wind Applications. <i>Energies</i>. 2021;14(4).
    doi:<a href="https://doi.org/10.3390/en14040882">10.3390/en14040882</a>
  apa: Khatibi, A., &#38; Krauter, S. (2021). Validation and Performance of Satellite
    Meteorological Dataset MERRA-2 for Solar and Wind Applications. <i>Energies</i>,
    <i>14</i>(4), Article 882. <a href="https://doi.org/10.3390/en14040882">https://doi.org/10.3390/en14040882</a>
  bibtex: '@article{Khatibi_Krauter_2021, title={Validation and Performance of Satellite
    Meteorological Dataset MERRA-2 for Solar and Wind Applications}, volume={14},
    DOI={<a href="https://doi.org/10.3390/en14040882">10.3390/en14040882</a>}, number={4882},
    journal={Energies}, publisher={MDPI}, author={Khatibi, Arash and Krauter, Stefan},
    year={2021} }'
  chicago: Khatibi, Arash, and Stefan Krauter. “Validation and Performance of Satellite
    Meteorological Dataset MERRA-2 for Solar and Wind Applications.” <i>Energies</i>
    14, no. 4 (2021). <a href="https://doi.org/10.3390/en14040882">https://doi.org/10.3390/en14040882</a>.
  ieee: 'A. Khatibi and S. Krauter, “Validation and Performance of Satellite Meteorological
    Dataset MERRA-2 for Solar and Wind Applications,” <i>Energies</i>, vol. 14, no.
    4, Art. no. 882, 2021, doi: <a href="https://doi.org/10.3390/en14040882">10.3390/en14040882</a>.'
  mla: Khatibi, Arash, and Stefan Krauter. “Validation and Performance of Satellite
    Meteorological Dataset MERRA-2 for Solar and Wind Applications.” <i>Energies</i>,
    vol. 14, no. 4, 882, MDPI, 2021, doi:<a href="https://doi.org/10.3390/en14040882">10.3390/en14040882</a>.
  short: A. Khatibi, S. Krauter, Energies 14 (2021).
date_created: 2021-02-23T10:18:05Z
date_updated: 2022-01-06T13:37:34Z
ddc:
- '620'
department:
- _id: '53'
doi: 10.3390/en14040882
file:
- access_level: closed
  content_type: application/pdf
  creator: krauter
  date_created: 2022-01-06T13:33:09Z
  date_updated: 2022-01-06T13:33:09Z
  file_id: '29177'
  file_name: energies-14-00882 Khatibi Krauter MERRA 2.pdf
  file_size: 3837152
  relation: main_file
  success: 1
file_date_updated: 2022-01-06T13:33:09Z
has_accepted_license: '1'
intvolume: '        14'
issue: '4'
keyword:
- Solar irradiance
- MERRA 2
- Meteonorm
- DWD
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/1996-1073/14/4/882/htm
oa: '1'
publication: Energies
publication_identifier:
  issn:
  - 1996-1073
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Validation and Performance of Satellite Meteorological Dataset MERRA-2 for
  Solar and Wind Applications
type: journal_article
user_id: '28836'
volume: 14
year: '2021'
...