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Modeling Meteorological Data from the City of Recife
Details
The content provided in this book was taken from the Master's thesis conducted between 2009 and 2011, whose subject on climate change has been widely discussed over the past three decades worldwide. Unexpected meteorological phenomena have happened in several countries whose historical series have shown values far above average, as is the case of floods in desert areas of Saudi Arabia that rained in three days, the volume expected for several years or the drought of famous lakes in California in the United States without the presence of rain for long periods. Some changes were found for the city of Recife, the study site, State of Pernambuco/Brazil in the Maximum and Minimum Compensated Temperature, Precipitation and for Relative Humidity. Probably, these changes can be related to the frequent occurrences of El Niño and La Niña phenomena.
Autorentext
Spécialiste en éducation environnementale (SENAC/PE), maître en développement des processus environnementaux (UNICAP), doctorant en sciences religieuses (UNICAP), professeur de thérapies holistiques et de ressources thérapeutiques manuelles).
Klappentext
The content provided in this book was taken from the Master's thesis conducted between 2009 and 2011, whose subject on climate change has been widely discussed over the past three decades worldwide. Unexpected meteorological phenomena have happened in several countries whose historical series have shown values far above average, as is the case of floods in desert areas of Saudi Arabia that rained in three days, the volume expected for several years or the drought of famous lakes in California in the United States without the presence of rain for long periods. Some changes were found for the city of Recife, the study site, State of Pernambuco/Brazil in the Maximum and Minimum Compensated Temperature, Precipitation and for Relative Humidity. Probably, these changes can be related to the frequent occurrences of El Niño and La Niña phenomena.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786204677125
- Genre Maths
- Anzahl Seiten 84
- Herausgeber Our Knowledge Publishing
- Größe H220mm x B150mm x T6mm
- Jahr 2022
- EAN 9786204677125
- Format Kartonierter Einband
- ISBN 6204677128
- Veröffentlichung 28.04.2022
- Titel Modeling Meteorological Data from the City of Recife
- Autor João Vitaliano de Carvalho Rocha , Valdemir Alexandre dos Santos
- Untertitel Use of the Time Series Analysis Methodology
- Gewicht 143g
- Sprache Englisch