Internal Displacement in Pakistan
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Read Ebook {PDF EPUB} Storm Over Indianenland by Billy Brand 70 Million in the Path of Massive Tropical Storm Bill As It Hits the Coast and Travels North
Read Ebook {PDF EPUB} Storm over indianenland by Billy Brand 70 Million in the Path of Massive Tropical Storm Bill as It Hits the Coast and Travels North. This transcript has been automatically generated and may not be 100% accurate. Historic floods in Louisiana, a tornado watch in upstate New York for the second time this week, and windshield-shattering hail put 18 million people on alert. Now Playing: More Severe and Dangerous Weather Cripples the Country. Now Playing: Naomi Osaka fined $15,000 for skipping press conference. Now Playing: Man publishes book to honor his wife. Now Playing: Hundreds gather to honor the lives lost in the Tulsa Race Massacre. Now Playing: Controversial voting measure set to become law in Texas. Now Playing: Business owner under fire over ‘Not Vaccinated’ Star of David patch. Now Playing: 7 presumed dead after plane crash near Nashville, Tennessee. Now Playing: Millions hit the skies for Memorial Day weekend. Now Playing: At least 2 dead, nearly 2 dozen wounded in mass shooting in Miami-Dade. Now Playing: Small jet crashes outside Nashville with 7 aboard. Now Playing: Millions traveling for Memorial Day weekend. Now Playing: Remarkable toddler stuns adults with her brilliance. Now Playing: Air fares reach pre-pandemic highs. Now Playing: Eric Riddick, who served 29 years for crime he didn't commit, fights to clear name. Now Playing: Man recovering after grizzly bear attack. Now Playing: US COVID-19 cases down 70% in last 6 weeks. Now Playing: Summer blockbusters return as movie theaters reopen. Now Playing: Harris delivers US Naval Academy commencement speech. -
Enhancing Climate Resilience of India's Coastal Communities
Annex II – Feasibility Study GREEN CLIMATE FUND FUNDING PROPOSAL I Enhancing climate resilience of India’s coastal communities Feasibility Study February 2017 ENHANCING CLIMATE RESILIENCE OF INDIA’S COASTAL COMMUNITIES Table of contents Acronym and abbreviations list ................................................................................................................................ 1 Foreword ................................................................................................................................................................. 4 Executive summary ................................................................................................................................................. 6 1. Introduction ............................................................................................................................................... 13 2. Climate risk profile of India ....................................................................................................................... 14 2.1. Country background ............................................................................................................................. 14 2.2. Incomes and poverty ............................................................................................................................ 15 2.3. Climate of India .................................................................................................................................... 16 2.4. Water resources, forests, agriculture -
Monsoon Cyclones. 52
STUDY ON VERTICAL STRUCTURE OF TROPICAL CYCLONES FORMED IN THE BAY OF BENGAL DURING 2007-2016 A dissertation submitted to the Department of Physics, Bangladesh University of Engineering and Technology (BUET), Dhaka in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN PHYSICS Submitted by SHAIYADATUL MUSLIMA Roll No.: 0416142506F Session: April/2016 DEPARTMENT OF PHYSICS BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY (BUET), DHAKA-1000, BANGLADESH April, 2019 i CANDIDATE'S DECLARATION It is hereby declared that this thesis or any part of it has not been submitted elsewhere for the award of any degree or diploma. Signature of the Candidate ---------------------------------------------------- SHAIYADATUL MUSLIMA Roll No.: 0416142506F Session: April/2016 ii iii Dedicated To My Beloved Parents iv CONTENTS Page No. List of Table viii List of Figures ix Abbreviations xv Acknowledgement xvi Abstract xvii Chapter No. Page No. CHAPTER 1: INTRODUCTION 1 1 1.1 prelude 1.2 objectives of the research 2 CHPATER 2: LITERATURE REVIEW 2.1 previous work 4 2.2 Overview of the study 6 2.2.1 Cyclone 6 2.2.2 Detail of tropical cyclone 6 2.2.3 Cyclone season 7 2.2.4 Tropical cyclone basins 8 2.2.5 Bay of Bengal 9 2.2.6 Classifications of tropical cyclone intensity 10 2.2.7 Physical structure of tropical cyclone 11 2.2.8 Environmental parameters related to cyclone 13 2.2.8.1Wind 13 2.2.8.2 Wind shear 14 2.2.8.3 Temperature 15 2.2.8.4 Vorticity 16 2.2.8.5 Equivalent potential temperature 18 2.2.8.6 Relative humidity 18 CHAPTER -
Determining the Sensitive Parameters of WRF Model for the Prediction of Tropical Cyclones in Bay of Bengal Using Global Sensitivity Analysis and Machine Learning
Determining the sensitive parameters of WRF model for the prediction of Tropical cyclones in Bay of Bengal using Global sensitivity analysis and Machine learning Harish Bakia, Sandeep Chintaa, C.Balajia,∗, Balaji Srinivasana aIndian Institute of Technology Madras, Chennai 600036, India Abstract The present study focuses on identifying the parameters from the Weather Research and Forecasting (WRF) model that strongly influence the prediction of tropical cyclones over the Bay of Bengal (BoB) region. Three global sensitivity analysis (SA) methods namely the Morris One-at-A-Time (MOAT), Multivariate Adaptive Regression Splines (MARS), and surrogate-based Sobol' are employed to identify the most sensitive parameters out of 24 tunable parameters corresponding to seven parameterization schemes of the WRF model. Ten tropical cyclones across different categories, such as cyclonic storms, severe cyclonic storms, and very severe cyclonic storms over BoB between 2011 and 2018, are selected in this study. The sensitivity scores of 24 parameters are evaluated for eight meteorological variables. The parameter sensitivity results are consistent across three SA methods for all the variables, and 8 out of the 24 parameters contribute 80% − 90% to the overall sensitivity scores. It is found that the Sobol' method with Gaussian progress regression as a surrogate model can produce reliable sensitivity results when the available samples exceed 200. The parameters with which the model simulations have the least RMSE values when compared with the observations are considered as the optimal parameters. Comparing observations and model simulations with the default and optimal parameters shows that predictions with the optimal set of parameters yield a 19.65% improvement in surface wind, 6.5% in surface temperature, and 13.2% in precipitation predictions, compared to the default set of parameters. -
Laboratory for Atmospheres 2010 Technical Highlights
NASA/TM—2011–215877 Laboratory for Atmospheres 2010 Technical Highlights July 2011 Cover Photo Captions: Top Left: Scott Janz with the ACAM Instrument prior to the GloPac mission. ACAM is one of 11 science instruments that were carried by the remotely operated high-altitude aircraft during the 2010 NASA GloPac mission. Top Center: Matt McGill and Robert Rivera prepare the CPL Instrument for the GloPac mission. CPL is one of 11 science instruments that were carried by the remotely operated high-altitude aircraft during the 2010 NASA GloPac mission. Top Right: Gerry Heymsfield with Matt McLinden and Lihua Li installing the HIWRAP instrument for the GRIP mission. HIWRAP is one of four science instruments that were carried by the remotely operated high-altitude aircraft during the 2010 NASA GRIP hurricane study. Background: NASA’s AV-6 Global Hawk cruises over the NASA Dryden Flight Research Center. The AV-6 carried the GloPac mission payload. Bottom Left: Forecaster Leslie Lait (foreground) and Lenny Pfister (background) supported the GloPac mission using products supplied by the GMAO to plan Global Hawk flights. Bottom Center: Time Warner Cable SoCal News’’ Cody Urban and Keli Moore interview NASA atmospheric physicist Paul Newman, co-mission scientist for the GloPac environmental science mission, beside a NASA Global Hawk aircraft at NASA’s Dryden Flight Research Center. NASA Photo / Tom Tschida Bottom Right: Lihua Li prepares to install the HIWRAP, on the underside of a NASA Global Hawk. NASA/TM—2011–215877 Laboratory for Atmospheres 2010 Technical Highlights National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland 20771 July 2011 The NASA STI Program Offi ce … in Profi le Since its founding, NASA has been ded i cated to the • CONFERENCE PUBLICATION. -
Free Download Available
In: Cyclones: Formation, Triggers and Control ISBN: 978-1-61942-976-5 Editors: K. Oouchi and H. Fudeyasu ©2012 Nova Science Publishers, Inc. No part of this digital document may be reproduced, stored in a retrieval system or transmitted commercially in any form or by any means. The publisher has taken reasonable care in the preparation of this digital document, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained herein. This digital document is sold with the clear understanding that the publisher is not engaged in rendering legal, medical or any other professional services. Chapter 11 A PROTOTYPE QUASI REAL-TIME INTRA-SEASONAL FORECASTING OF TROPICAL CONVECTION OVER THE WARM POOL REGION: A NEW CHALLENGE OF GLOBAL CLOUD-SYSTEM-RESOLVING MODEL FOR A FIELD CAMPAIGN Kazuyoshi Oouchi1*, Hiroshi Taniguchi2, Tomoe Nasuno1, Masaki Satoh1,3, Hirofumi Tomita,1,4, Yohei Yamada1, Mikiko Ikeda1, Ryuichi Shirooka5, Hiroyuki Yamada5, and Kunio Yoneyama5 1Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan 2International Pacific Research Center, University of Hawaii at Manoa, Honolulu, Hawaii, US 3The University of Tokyo, Kashiwa, Japan 4RIKEN, Kobe, Japan 5Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan ABSTRACT A new prototype of quasi real-time forecast system for tropical weather events with timescales spanning across diurnal-to-intra-seasonal ranges is developed. Its hallmark is the use of a global cloud-system resolving model (GCRM) that avoids uncertainties arising from cumulus convection schemes inherent to traditional hydrostatic models. -
13 January, 2011 Annual Climate Summary of India During 2010
Government of India Ministry of Earth Sciences India Meteorological Department Press Release Dated: 13 January, 2011 Annual Climate Summary of India during 2010 Salient features Mean annual temperature for the country as a whole during 2010 was +0.93 0C above the 1961-1990 average. It was slightly higher than that of the year 2009, thus making the year 2010 as the warmest year on record since 1901. Considering different seasons, Pre- Monsoon season (March-May) in 2010 was the warmest since 1901 with mean temperature being 1.8 0C above normal The annual total rainfall for the country as a whole was normal during the year 2010 with actual rainfall of 121.5 cm against the long period average (LPA) of 119.7 cm. Seasonal rainfall during monsoon season (June to September) contributes about 75% of total annual rainfall for the country as a whole. Seasonal monsoon rainfall during 2010 was 102% of its LPA of 89 cm. Out of 597 meteorological districts for which data are available, 29% of the districts (173 districts) received excess rainfall, 40% (240 districts) received normal rainfall, 29% (173 districts) received deficient rainfall and the remaining 2% (11 districts) received scanty rainfall during the season. The north Indian Ocean witnessed the formation of eight cyclonic disturbances (depression & above) during 2010 which was far below the normal of 13 disturbances. However, five cyclones formed during 2010 which is the first such year after 1998 when six cyclones formed. There was no depression during monsoon season. Out of five cyclones, three cyclones made landfall with atleast cyclonic storm intensity. -
Wordperfect Document
Research Journal of Earth Sciences 2 (1): 14-16, 2010 ISSN 1995-9044 © IDOSI Publications, 2010 Impact of Laila Cyclone and Prevention at a Momentary Look-South East Coast of India 1P. Satheeshkumar, 1Anisa B. Khan and 2D. Senthilkumar 1Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry, 605 014, India 2Department of Zoology, Kandhaswamy Kandar Arts and Science College, Paramathy-Velur, Tamilnadu, 638 181, India Abstract: Cyclones have the best expectedness among all the disaster phenomena. It is generally accepted that, all over the world, property damage from tropical cyclones (TC) has increased over the years. India's monsoon rains are on track to hit the country's southern coast on summer season, and cyclone Laila hits southeast coast India in the Bay of Bengal 18th May 2010. Key words: Cyclone % laila % India INTRODUCTION brunt of cyclone Laila received an average of about two inches of rainfall per hour, according to data collected by While TC can produce extremely powerful winds and a NASA satellite. The Tropical Rainfall Measuring torrential rain, they are also able to produce high waves Mission (TRMM) satellite which flew over the cyclone and damaging storm surge as well as spawning tornadoes. showed that the heaviest rainfall was received just They develop over large bodies of warm water, and lose south-east of the centre of circulation and along the their strength if they move over land. About 80 tropical coast. It’s not only measures rainfall intensity from space cyclones (with wind speeds equal to or greater than 35 but can also give scientists an idea about the height of a knots) form in the world’s waters every year [1]. -
1 Impact of Highest Maximum Sustained Wind Speed and Its Duration on Storm Surges and 1 Hydrodynamics Along Krishna-Godavari
Impact of Highest Maximum Sustained Wind Speed and Its Duration on Storm Surges and Hydrodynamics Along Krishna-Godavari Coast Maneesha Sebastian ( [email protected] ) Indian Institute of Technology Bombay https://orcid.org/0000-0002-6602-4473 Manasa Ranjan Behera Indian Institute of Technology Bombay Research Article Keywords: Tropical Cyclone, Rapid intensication, Gradual intensication, Duration of Intensication, Storm Surge, Hydrodynamics Posted Date: May 10th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-241625/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Impact of highest maximum sustained wind speed and its duration on storm surges and 2 hydrodynamics along Krishna-Godavari coast 3 Maneesha Sebastian1,* , Manasa Ranjan Behera1,2 4 1Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 5 Maharashtra 400076, India, 6 2Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, 7 Mumbai 400076, India, 8 9 *Corresponding author: 10 Dr. Maneesha Sebastian 11 Department of Civil Engineering, 12 Indian Institute of Technology Bombay, 13 Powai, Mumbai – 400076, India. 14 Email id: [email protected] 15 orcid: https://orcid.org/0000-0002-6602-4473 16 17 18 19 20 21 22 1 23 Abstract 24 The storm surge and hydrodynamics along the Krishna-Godavari (K-G) basin are examined 25 based on numerical experiments designed from assessing the landfalling cyclones in Bay of 26 Bengal (BoB) over the past 38 years with respect to its highest maximum sustained wind speed 27 and its duration. The model is validated with the observed water levels at the tide gauge stations 28 at Visakhapatnam during Helen (2013) and Hudhud (2014). -
Cyclone Laila
CYCLONE LAILA ORANGE WARNING May 19, 2010 CYCLONIC STORM ‘LAILA’ OVER SOUTHWEST AND ADJOINING WEST‐CENTRAL BAY OF BENGAL: CYCLONE WARNING (ORANGE MESSAGE). Tropical Cyclone LAILA‐10 of Saffir‐Simpson Category 1 affected 20.8 million people with winds above 39mph (63 km/h) and 4.5 million people with hurricane wind strengths (74mph or 119 km/h). In addition, 461 thousand people are living in coastal areas below 5m and can therefore be affected by storm surge. The cyclonic storm ‘LAILA’ over southwest and adjoining westcentral Bay of Bengal moved slightly northwards and lay centred at 0530 hrs IST of today, the 19th May 2010 over southwest and adjoining westcentral Bay of Bengal near latitude 13.50N and long. 82.00E, about 190 km east‐ northeast of Chennai, 480 km west‐southwest of Visakhapatnam and 1200 km southwest of Kolkata. The current environmental conditions and Numerical Weather Prediction (NWP) models suggest that the system is likely to intensify further and move in a northwesterly to northerly direction and cross Andhra Pradesh coast between Ongole and Visakhapatnam by early hours of 20th May 2010. Based on latest analysis with NWP models and other conventional techniques, estimated track and intensity of the system are given in the Table below: Date/Time(IST) Position (lat. 0N/ long. Sustained maximum surface wind 0E) speed (kmph) 19‐05‐2010/0530 13.5/82.0 85‐95 gusting to 105 19‐05‐2010/1130 14.0/81.5 95‐105 gusting to 115 19‐05‐2010/1730 14.5/81.5 105‐115 gusting to 125 19‐05‐2010/2330 15.5/81.5 115‐125 gusting to 135 20‐05‐2010/0530 16.5/81.5 115‐125 gusting to 135 20‐05‐2010/1730 17.5/82.0 95‐155 gusting to 155 21‐05‐2010/0530 18.5/83.0 85‐95gusting to 105 21‐05‐2010/1730 19.5/84.5 75‐85 gusting to 95 Under the influence of this system, north coastal Tamil Nadu and coastal Andhra Pradesh are likely to experience widespread rainfall with scattered heavy to very heavy falls (25 cms or more) and isolated extremely heavy falls during next 48 hours. -
Improved Prediction of Bay of Bengal Tropical Cyclones Through Assimilation of Doppler Weather Radar Observations
NOVEMBER 2015 O S U R I E T A L . 4533 Improved Prediction of Bay of Bengal Tropical Cyclones through Assimilation of Doppler Weather Radar Observations KRISHNA K. OSURI AND U. C. MOHANTY School of Earth, Ocean and Climate Sciences, Indian Institute of Technology, Bhubaneswar, India A. ROUTRAY National Centre for Medium Range Weather Forecasting, Noida, India DEV NIYOGI Purdue University, West Lafayette, Indiana (Manuscript received 27 November 2013, in final form 16 March 2015) ABSTRACT The impact on tropical cyclone (TC) prediction from assimilating Doppler weather radar (DWR) obser- vations obtained from the TC inner core and environment over the Bay of Bengal (BoB) is studied. A set of three operationally relevant numerical experiments were conducted for 24 forecast cases involving 5 unique severe/very severe BoB cyclones: Sidr (2007), Aila (2009), Laila (2010), Jal (2010), and Thane (2011). The first experiment (CNTL) used the NCEP FNL analyses for model initial and boundary conditions. In the second experiment [Global Telecommunication System (GTS)], the GTS observations were assimilated into the model initial condition while the third experiment (DWR) used DWR with GTS observations. Assimilation of the TC environment from DWR improved track prediction by 32%–53% for the 12–72-h forecast over the CNTL run and by 5%–25% over GTS and was consistently skillful. More gains were seen in intensity, track, and structure by assimilating inner-core DWR observations as they provided more realistic initial organization/ asymmetry and strength of the TC vortex. Additional experiments were conducted to assess the role of warm- rain and ice-phase microphysics to assimilate DWR reflectivity observations. -
Data Collection Survey for Disaster Prevention in India
DATA COLLECTION SURVEY FOR DISASTER PREVENTION IN INDIA FINAL REPORT OCTOBER 2015 JAPAN INTERNATIONAL COOPERATION AGENCY YACHIYO ENGINEERING CO., LTD. ID JR(先) 15 - 011 DATA COLLECTION SURVEY FOR DISASTER PREVENTION IN INDIA FINAL REPORT OCTOBER 2015 JAPAN INTERNATIONAL COOPERATION AGENCY YACHIYO ENGINEERING CO., LTD. Exchange Rate applied in this Report As of September, 2015 USD 1.00 = JPY 121.81 INR 1.00 = JPY 1.844 Data Collection Survey for Disaster Prevention in India Final Report DATA COLLECTION SURVEY FOR DISASTER PREVENTION IN INDIA FINAL REPORT TABLE OF CONTENTS Table of Contents List of Figures List of Tables Abbreviations Executive Summary CHAPTER 1 BACKGROUND AND OBJECTIVE OF THE SURVEY ................................ 1-1 1.1 Background ...................................................................................................................... 1-1 1.1.1 Mainstreaming Disaster Risk Reduction .............................................................. 1-1 1.1.2 Disaster Management Policy in India .................................................................. 1-1 1.1.3 Japan’s Assistance Policy for Disaster Management in India .............................. 1-2 1.2 Objective of the Survey ................................................................................................... 1-2 1.3 Survey Areas .................................................................................................................... 1-2 1.4 Survey Schedule .............................................................................................................