Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis. 124 pp. Englisch. N° de réf. du vendeur 9786138512813
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmad BurhanBurhan Ahmad - Meteorologist, Research and Development Division, Pakistan Meteorological Department, Islamabad, Pakistan.Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. N° de réf. du vendeur 385661406
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis. N° de réf. du vendeur 9786138512813
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. N° de réf. du vendeur 9786138512813
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Taschenbuch. Etat : Neu. An Analysis of Climate Change in Pakistan | Burhan Ahmad | Taschenbuch | 124 S. | Englisch | 2019 | Scholars' Press | EAN 9786138512813 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 115353711
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Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis. N° de réf. du vendeur 33557557/1
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