Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data

Emmanuel Israel; Adedayo Kayode David; Ojo Olusola Samuel; Ashidi Ayodeji Gabriel; Emmanuel Grace Omolara

doi:doi:10.11648/j.wros.20200903.12

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Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data

Emmanuel Israel, Adedayo Kayode David, Ojo Olusola Samuel, Ashidi Ayodeji Gabriel, Emmanuel Grace Omolara

Published in Journal of Water Resources and Ocean Science (Volume 9, Issue 3)

Received: 9 January 2020 Accepted: 21 January 2020 Published: 3 September 2020

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Abstract

Global spatial and annual distribution of surface water vapour density were estimated using 2005 -2016 monthly air temperature and relative humidity at 1° ×1° resolution obtained from Era interim and NCEP/NCAR database products. Obtained results from reanalysis were statistically tested using in situ data from Tropospheric Data Acquisition Network (TRODAN) of The Center for Atmospheric Research (CAR). Four seasonal variations of surface water vapour density (winter (DJF), spring (MAM), summer (JJA) and autumn (SON)) was examined. Observed result from the two reanalysis follow similar trends with value from Era interim leading. High values ranges between 50 g/m² and 68 g/m² were observed in tropical regions and humid sub-tropical regions. Low values ranges between 8 g/m² and 38 g/m² were observed in Ice cap, Tundra and arid regions. High warming may be experienced in tropical and sub-tropical regions, similarly, climate change with alarming rate may be experienced in locations with low values. The annual cycle of surface water vapor density is clearly established from two reanalysis across world classified into twelve regions. The statistical test for the reanalysis present good result with a mean bias error, MBE, root mean square error, RMSE and R square of 20.56, 18.29, 0.87 and 5.87, 0.98, 0.93 for Era interim and NCEP/NCAR respectively.

Published in	Journal of Water Resources and Ocean Science (Volume 9, Issue 3)
DOI	10.11648/j.wros.20200903.12
Page(s)	64-70
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Global, Water Vapour, Reanalysis, Warming

References

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APA Style

Emmanuel Israel, Adedayo Kayode David, Ojo Olusola Samuel, Ashidi Ayodeji Gabriel, Emmanuel Grace Omolara. (2020). Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data. Journal of Water Resources and Ocean Science, 9(3), 64-70. https://doi.org/10.11648/j.wros.20200903.12

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ACS Style

Emmanuel Israel; Adedayo Kayode David; Ojo Olusola Samuel; Ashidi Ayodeji Gabriel; Emmanuel Grace Omolara. Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data. J. Water Resour. Ocean Sci. 2020, 9(3), 64-70. doi: 10.11648/j.wros.20200903.12

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AMA Style

Emmanuel Israel, Adedayo Kayode David, Ojo Olusola Samuel, Ashidi Ayodeji Gabriel, Emmanuel Grace Omolara. Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data. J Water Resour Ocean Sci. 2020;9(3):64-70. doi: 10.11648/j.wros.20200903.12

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@article{10.11648/j.wros.20200903.12,
  author = {Emmanuel Israel and Adedayo Kayode David and Ojo Olusola Samuel and Ashidi Ayodeji Gabriel and Emmanuel Grace Omolara},
  title = {Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {9},
  number = {3},
  pages = {64-70},
  doi = {10.11648/j.wros.20200903.12},
  url = {https://doi.org/10.11648/j.wros.20200903.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20200903.12},
  abstract = {Global spatial and annual distribution of surface water vapour density were estimated using 2005 -2016 monthly air temperature and relative humidity at 1° ×1° resolution obtained from Era interim and NCEP/NCAR database products. Obtained results from reanalysis were statistically tested using in situ data from Tropospheric Data Acquisition Network (TRODAN) of The Center for Atmospheric Research (CAR). Four seasonal variations of surface water vapour density (winter (DJF), spring (MAM), summer (JJA) and autumn (SON)) was examined. Observed result from the two reanalysis follow similar trends with value from Era interim leading. High values ranges between 50 g/m2 and 68 g/m2 were observed in tropical regions and humid sub-tropical regions. Low values ranges between 8 g/m2 and 38 g/m2 were observed in Ice cap, Tundra and arid regions. High warming may be experienced in tropical and sub-tropical regions, similarly, climate change with alarming rate may be experienced in locations with low values. The annual cycle of surface water vapor density is clearly established from two reanalysis across world classified into twelve regions. The statistical test for the reanalysis present good result with a mean bias error, MBE, root mean square error, RMSE and R square of 20.56, 18.29, 0.87 and 5.87, 0.98, 0.93 for Era interim and NCEP/NCAR respectively.},
 year = {2020}
}

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TY  - JOUR
T1  - Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data
AU  - Emmanuel Israel
AU  - Adedayo Kayode David
AU  - Ojo Olusola Samuel
AU  - Ashidi Ayodeji Gabriel
AU  - Emmanuel Grace Omolara
Y1  - 2020/09/03
PY  - 2020
N1  - https://doi.org/10.11648/j.wros.20200903.12
DO  - 10.11648/j.wros.20200903.12
T2  - Journal of Water Resources and Ocean Science
JF  - Journal of Water Resources and Ocean Science
JO  - Journal of Water Resources and Ocean Science
SP  - 64
EP  - 70
PB  - Science Publishing Group
SN  - 2328-7993
UR  - https://doi.org/10.11648/j.wros.20200903.12
AB  - Global spatial and annual distribution of surface water vapour density were estimated using 2005 -2016 monthly air temperature and relative humidity at 1° ×1° resolution obtained from Era interim and NCEP/NCAR database products. Obtained results from reanalysis were statistically tested using in situ data from Tropospheric Data Acquisition Network (TRODAN) of The Center for Atmospheric Research (CAR). Four seasonal variations of surface water vapour density (winter (DJF), spring (MAM), summer (JJA) and autumn (SON)) was examined. Observed result from the two reanalysis follow similar trends with value from Era interim leading. High values ranges between 50 g/m2 and 68 g/m2 were observed in tropical regions and humid sub-tropical regions. Low values ranges between 8 g/m2 and 38 g/m2 were observed in Ice cap, Tundra and arid regions. High warming may be experienced in tropical and sub-tropical regions, similarly, climate change with alarming rate may be experienced in locations with low values. The annual cycle of surface water vapor density is clearly established from two reanalysis across world classified into twelve regions. The statistical test for the reanalysis present good result with a mean bias error, MBE, root mean square error, RMSE and R square of 20.56, 18.29, 0.87 and 5.87, 0.98, 0.93 for Era interim and NCEP/NCAR respectively.
VL  - 9
IS  - 3
ER  -

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Author Information

Emmanuel Israel

Department of Physics, Federal University of Technology, Akure, Nigeria
Adedayo Kayode David

Department of Physics, Federal University of Technology, Akure, Nigeria
Ojo Olusola Samuel

Department of Physics, Federal University of Technology, Akure, Nigeria
Ashidi Ayodeji Gabriel

Department of Physics, Federal University of Technology, Akure, Nigeria
Emmanuel Grace Omolara

Department of Computer, Federal University of Technology, Akure, Nigeria

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APA Style

Emmanuel Israel, Adedayo Kayode David, Ojo Olusola Samuel, Ashidi Ayodeji Gabriel, Emmanuel Grace Omolara. (2020). Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data. Journal of Water Resources and Ocean Science, 9(3), 64-70. https://doi.org/10.11648/j.wros.20200903.12

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ACS Style

Emmanuel Israel; Adedayo Kayode David; Ojo Olusola Samuel; Ashidi Ayodeji Gabriel; Emmanuel Grace Omolara. Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data. J. Water Resour. Ocean Sci. 2020, 9(3), 64-70. doi: 10.11648/j.wros.20200903.12

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AMA Style

Emmanuel Israel, Adedayo Kayode David, Ojo Olusola Samuel, Ashidi Ayodeji Gabriel, Emmanuel Grace Omolara. Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data. J Water Resour Ocean Sci. 2020;9(3):64-70. doi: 10.11648/j.wros.20200903.12

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@article{10.11648/j.wros.20200903.12,
  author = {Emmanuel Israel and Adedayo Kayode David and Ojo Olusola Samuel and Ashidi Ayodeji Gabriel and Emmanuel Grace Omolara},
  title = {Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {9},
  number = {3},
  pages = {64-70},
  doi = {10.11648/j.wros.20200903.12},
  url = {https://doi.org/10.11648/j.wros.20200903.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20200903.12},
  abstract = {Global spatial and annual distribution of surface water vapour density were estimated using 2005 -2016 monthly air temperature and relative humidity at 1° ×1° resolution obtained from Era interim and NCEP/NCAR database products. Obtained results from reanalysis were statistically tested using in situ data from Tropospheric Data Acquisition Network (TRODAN) of The Center for Atmospheric Research (CAR). Four seasonal variations of surface water vapour density (winter (DJF), spring (MAM), summer (JJA) and autumn (SON)) was examined. Observed result from the two reanalysis follow similar trends with value from Era interim leading. High values ranges between 50 g/m2 and 68 g/m2 were observed in tropical regions and humid sub-tropical regions. Low values ranges between 8 g/m2 and 38 g/m2 were observed in Ice cap, Tundra and arid regions. High warming may be experienced in tropical and sub-tropical regions, similarly, climate change with alarming rate may be experienced in locations with low values. The annual cycle of surface water vapor density is clearly established from two reanalysis across world classified into twelve regions. The statistical test for the reanalysis present good result with a mean bias error, MBE, root mean square error, RMSE and R square of 20.56, 18.29, 0.87 and 5.87, 0.98, 0.93 for Era interim and NCEP/NCAR respectively.},
 year = {2020}
}

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TY  - JOUR
T1  - Global Distribution of Surface Water Vapour Density Using in Situ and Reanalysis Data
AU  - Emmanuel Israel
AU  - Adedayo Kayode David
AU  - Ojo Olusola Samuel
AU  - Ashidi Ayodeji Gabriel
AU  - Emmanuel Grace Omolara
Y1  - 2020/09/03
PY  - 2020
N1  - https://doi.org/10.11648/j.wros.20200903.12
DO  - 10.11648/j.wros.20200903.12
T2  - Journal of Water Resources and Ocean Science
JF  - Journal of Water Resources and Ocean Science
JO  - Journal of Water Resources and Ocean Science
SP  - 64
EP  - 70
PB  - Science Publishing Group
SN  - 2328-7993
UR  - https://doi.org/10.11648/j.wros.20200903.12
AB  - Global spatial and annual distribution of surface water vapour density were estimated using 2005 -2016 monthly air temperature and relative humidity at 1° ×1° resolution obtained from Era interim and NCEP/NCAR database products. Obtained results from reanalysis were statistically tested using in situ data from Tropospheric Data Acquisition Network (TRODAN) of The Center for Atmospheric Research (CAR). Four seasonal variations of surface water vapour density (winter (DJF), spring (MAM), summer (JJA) and autumn (SON)) was examined. Observed result from the two reanalysis follow similar trends with value from Era interim leading. High values ranges between 50 g/m2 and 68 g/m2 were observed in tropical regions and humid sub-tropical regions. Low values ranges between 8 g/m2 and 38 g/m2 were observed in Ice cap, Tundra and arid regions. High warming may be experienced in tropical and sub-tropical regions, similarly, climate change with alarming rate may be experienced in locations with low values. The annual cycle of surface water vapor density is clearly established from two reanalysis across world classified into twelve regions. The statistical test for the reanalysis present good result with a mean bias error, MBE, root mean square error, RMSE and R square of 20.56, 18.29, 0.87 and 5.87, 0.98, 0.93 for Era interim and NCEP/NCAR respectively.
VL  - 9
IS  - 3
ER  -

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