---
_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'
...