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Title of Thesis
DETECTION AND MODELING OF HYDROMETEOROLOGICAL VARIABILITY OVER PAKISTAN REGION |
Author(s)
Muhammad Jawed Iqbal |
Institute/University/Department Details
Institute of Space and Planetary Astrophysics/ University of Karachi |
Session
2005 |
Subject
Atmospheric Physics |
Number of Pages
184 |
Keywords (Extracted from title, table of contents and abstract of thesis)
hydrometeorological variability, global warming, rainfall pattern, monsoon, climate |
Abstract The recent developments in atmospheric physics like that of global warming serve as complications playing up the standard climatological problem of rainfall/drought predictability for South Asia. This work attempts to understand a specific aspect of this issue viz. a systematic treatment of the problem of detection and modeling of hydro-meteorological variability over Pakistan. Chapter 1 defines the problem and demonstrates that to resolve it what seems to better suit is the stochastic approach to dynamical system study rather than the deterministic one. After treating the missing data problem and resolving the data quality control question, Chapter 2 performs an exploratory analysis which shows that the annual landmass air temperature data models of five relatively more important climate stations of Pakistan constructed here obey the normal distribution while the constructed summer monsoon precipitation time series is lognormal. A subsequent trend analysis further establishes that the general pattern of evolution of temperature over Pakistan is pretty similar to the current global warming configuration. Our computations also indicate that the local precipitation pattern fairly agrees with the overall pattern of unprecedented rainfall / drought scenario obtaining today over the globe. It is reassuring to find that a bayesian analysis largely confirms the preceding results obtained classically for both temperature and precipitation. To better understand the problem, Chapter 3 next takes up the question of physical character of processes governing the climate and shows that both temperature and precipitation of the major cities resemble a random fractal. A subsequent spectral analysis examines the question of temporal pulsations of the climatic processes. We show that the temperature of all major climate stations may be affected by ENSO or QBO or Sunspot Cycles. As for the rainfall, what we find is that Pakistan summer monsoon exhibits a fairly similar bienniality with that of the Indian monsoon. To reinforce the discovery of mathematical processes at work behind the temporal evolution of phenomena, Chapter 4 applies pattern recognition techniques to analyse the spatial variability evinced by the seasonal data models for a large number of meteorological stations well spread over Pakistan. Unlike previous works. our classification leads to four climate zones for Pakistan, each with more detailed characterisations in terms of the geographical features and the climatical conditions of different localities. In view of the critical influence of inter-annual variability in rainfall on agriculture, industrial production, etc., Chapter 5 considers the modeling and forecasting problem for the summer rainfall pattern for Pakistan. It is shown that the predictors arising from the Himalayan range and the Arabian Sea climate and more general global climatology lead to a simple new model for the physical process of local summer monsoon precipitations. Finally, Chapter 6 gives a summary of the results obtained in the preceding chapters and a discussion. This includes the possible lines of inquiry to improve and / or extend this contribution and its relevance.
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| S. No. |
Chapter |
Title of the Chapters |
Page |
Size (KB) |
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| 1 |
0 |
Contents |
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 184.43 KB |
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| 2 |
1 |
Introduction |
1 |
 844.2 KB |
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1.1 |
Terrestrial Climate Variability And Its Hydro-Meteorological Dimensions With Special Reference To Tropics |
2 |
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1.2 |
Climatic Setting Of Pakistan Region |
7 |
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1.3 |
Dynamics Of Monsoon Flow Over Pakistan |
10 |
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1.4 |
Rainfall Forecast Problem In The Context Of Pakistan |
22 |
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1.5 |
Literature Review |
26 |
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1.6 |
On The Need Of A Fresher Approach Of Modelling Of Fluctuation Of Local Climate Parameters For A Construction Of Rainfall Forecasts: Case Study Of Pakistan Region |
27 |
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| 3 |
2 |
Construction And Preliminary Analysis Of Data Model Of Climate Parameters |
32 |
 1002.54 KB |
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2.1 |
Climate Data Sources |
33 |
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2.2 |
An Imputation Scheme For Missing Data Problem |
33 |
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2.3 |
Identifying Erroneous Measurements |
34 |
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2.4 |
Examining The Long Time Series Of Climate Parameters For Homogeneity |
36 |
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2.5 |
Exploratory Analysis Of Constructed Data Models |
45 |
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2.6 |
Quantifying Evolutionary Trend Within Data Models |
52 |
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2.7 |
Detecting Hidden Monotonicity In Climate Variability |
55 |
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2.8 |
Applying Bayesian Inferencing Approach |
61 |
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| 4 |
3 |
Physical Structure Of Climate Evolution |
67 |
 923.84 KB |
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3.1 |
Ascertaining Randomness Of Parameter Evolution Represented By Constructed Data Model |
68 |
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3.2 |
Figuring Out Type Of Randomness Exhibited By Temperature Evolution |
79 |
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3.3 |
Question Of Randomness Of Monsoon Precipition |
87 |
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3.4 |
The ‘Minus Two’ Law Of Climatic Variability In Pakistan |
87 |
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3.5 |
Pseuo-Stochasticity Of Long-Term Climate Fluctuations |
90 |
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3.6 |
Spectral Analysis Of Local Climatic Fluctuations |
97 |
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| 5 |
4 |
Spatial Variability Of Climate |
108 |
 300.27 KB |
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4.1 |
Climate Data Reduction |
109 |
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4.2 |
Cluster Analysis Of Climate Parameters |
109 |
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4.3 |
Climate Zonation Via Modern Pattern Recognition Techniques |
113 |
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4.4 |
Fixing Meteorological Characteristics Of Zones Under The New Zonation |
116 |
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| 6 |
5 |
A New Rainfall Model For Pakistan |
119 |
 613.16 KB |
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5.1 |
Pakistan Summer Monsoon Rainfall Index, I p |
119 |
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5.2 |
Components Of Atmosphere-Ocean-Land System Shaping I p |
124 |
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5.3 |
Construction A Model Of Summer Monsoon Rainfall |
133 |
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5.4 |
Validating The New Model |
140 |
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| 7 |
6 |
Summary And Outlook |
144 |
 178.85 KB |
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6.1 |
Summarising The Results |
144 |
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6.2 |
Discussion And Conclusion |
148 |
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| 8 |
7 |
Appendix |
150 |
 935.79 KB |
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7.1 |
References |
169 |
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