Indian Monsoon Basic Drivers and Variability
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Comment Chapter Team Response Id Page Line Page Line 2257 2 0 0 0 0 Excellent Comprehensive and Rich Report
SROCC Second Order Draft Government and Expert Review Comments - Chapter 2 Comment Chapter From From To To Comment Chapter Team Response id page line page line 2257 2 0 0 0 0 Excellent comprehensive and rich report. I have only few rather technical remarks. A more Taken into account – sentence included in permafrost section general recommendation relates to the new landscapes which are rapidli forming in deglaciating mountain areas and need comprehensive anticipation/modeling/treatment. This is an emerging research field (Haeberli, W. (2017): Integrative modelling and managing new landscapes and environments in de-glaciating mountain ranges: An emerging trans- disciplinary research field. Forestry Research and Engineering: International Journal 1(1). doi:10.15406/freij.2017.01.00005). This could be more strongly emphasized, for instance, in section 2.4 on page 47 an don page 5, line 53. Such new landscapes will be characterized by strong and long-lasting disequilibria, especially concerning slope stability, sediment cascades or eco-systems. One important factor thereby is the strongly different response time of cryosphere components: snow = almost immediate, mountain glaciers = years to decades, mountain permafrost =decades to centuries to even millennia. As an example, in many mountain chains, permafrost inside high peaks will probably continue to exist (far out of thermal equilibrium) when glaciers will have already long disappeared. [Wilfried Haeberli, Switzerland] 2259 2 0 0 0 0 The figures are interesting but rather overloaded and not easy to read and understand. Accepted - The figures have been revised to improve readability. [Wilfried Haeberli, Switzerland] 2415 2 0 0 0 It is puzzling to see that chapter authors have consciously chosen to ignore the pre- Rejected - Pre-industrial changes are not part of the government industrial, pre-Little-Ice-Age palaeoclimatic context. -
Low Level Wind Patterns Over the Indian Ocean
Low level wind patterns over the Indian Ocean Langlade Sébastien, tropical cyclone forecaster based on Hastenrath and Polzin, 2004, Dynamics of the windfield over the equatorial Indian Ocean, Q. J. R. Meteorol. Soc. (2004), 130, pp. 503–517 La Réunion, 2019/11/04 OUTLINE ■ Indian Ocean annual cycle and associated low level wind patterns ― Background ― Austral summer ― Austral winter ― Austral spring / autumn ■ Other wind patterns ■ Conclusion Tropical Indian Ocean surface winds patterns: Background Hastenrath etal., 2004 ■ 1 Austral summer 2 Austral autumn 3 Austral winter 2 Austral spring Tropical Indian Ocean surface winds patterns: Background Hastenrath etal., 2004 ■ 1 Austral summer 2 Austral autumn 3 Austral winter 2 Austral spring Austral summer (January to March) Austral summer (January to March) H L Austral summer (January to March) H L Austral summer (January to March) Monsoon Trough H (MT) L h Austral summer (January to March) Monsoon Trough définition: Low level trough (surface to 850 hPa) located equator within the mixing area between the monsoon and tradewinds flow. Associated equatorial winds have a strong meridional component. → Low level large scale vorticity associated. Austral summer (January to March) 18th February 2009 Winds at 925 hPa Equator Monsoon Trough (MT) Austral winter (June to August) Austral winter (June to August) L H L H Austral winter (June to August) L H Austral winter (June to August) ≥ 28 kt ≥ 16 kt H ≤ 4 kt L≤ 4 kt ≥ 16 kt Austral winter (June to August) India and south-eastern Asia monsoons ≥ 28 kt -
Mesoscale Interactions in Tropical Cyclone Genesis
OCTOBER 1997 SIMPSON ET AL. 2643 Mesoscale Interactions in Tropical Cyclone Genesis J. SIMPSON Earth Sciences Directorate, NASA/Goddard Space Flight Center, Greenbelt, Maryland E. RITCHIE Department of Meteorology, Naval Postgraduate School, Monterey, California G. J. HOLLAND Bureau of Meteorology Research Centre, Melbourne, Australia J. HALVERSON* Visiting Fellow, University Space Research Association, NASA/Goddard Space Flight Center, Greenbelt, Maryland S. STEWART NEXRAD OSF/OTB, National Weather Service, NOAA, Norman, Oklahoma (Manuscript received 21 November 1996, in ®nal form 13 February 1997) ABSTRACT With the multitude of cloud clusters over tropical oceans, it has been perplexing that so few develop into tropical cyclones. The authors postulate that a major obstacle has been the complexity of scale interactions, particularly those on the mesoscale, which have only recently been observable. While there are well-known climatological requirements, these are by no means suf®cient. A major reason for this rarity is the essentially stochastic nature of the mesoscale interactions that precede and contribute to cyclone development. Observations exist for only a few forming cases. In these, the moist convection in the preformation environment is organized into mesoscale convective systems, each of which have associated mesoscale potential vortices in the midlevels. Interactions between these systems may lead to merger, growth to the surface, and development of both the nascent eye and inner rainbands of a tropical cyclone. The process is essentially stochastic, but the degree of stochasticity can be reduced by the continued interaction of the mesoscale systems or by environmental in¯uences. For example a monsoon trough provides a region of reduced deformation radius, which substantially improves the ef®ciency of mesoscale vortex interactions and the amplitude of the merged vortices. -
Precipitation Type Graphic Documentation Page
Precipitation Type Graphic Documentation Page Purpose: The National Weather Service in Caribou and Gray has created graphics that easily display precipitation types for mixed winter weather events. These graphics can be used by core customers for briefing purposes on upcoming winter events. Product Creation: These graphics are created automatically when each individual weather forecast office updates the official forecast. An individual forecast graphic will be created in 3 hour increments through the first 24 hours, then in 6 hour increments thereafter through 120 hours (5 days). Depending on how many forecast updates will dictate how often these graphics are created, but on average the first 24 hour forecast will be updated 6 times a day and the day 2 to 5 period will be updated twice daily (~ 3 p.m. and 3 a.m.). Product Location: Graphics will be hosted via the NWS Internet pages at the following URL: http://www.weather.gov/car/WeatherTypeCovForecast Note: The URL will be hidden for the first test season (winter 2015-16) and will only be available for a small test group to evaluate the graphics. Precipitation Type Graphic Example: The precipitation type page consists of the main graphic with the toggle commands at the bottom of the page. See image below for number reference locations: 1. Valid Time – Provides you with the graphic valid time in either 3hr or 6hr forecast time periods 2. Legend – Simple legend that explains what the precipitation type graphic colors are representing (a more detailed description of this legend is in the following section of this document). -
Analysis of Summer Monsoon Fluctuations Over India
February 1976 M. Murakami 15 Analysis of Summer Monsoon Fluctuations over India By Masato Murakami Meteorological Research Institute, Tokyo (Manuscript received 26 August 1975, in revised form 17 November 1975) Abstract Temporal fluctuations appearing in the summer monsoon over India are investigated by using the data of 1962. By the method of spectrum analysis, it is revealed that two major periodicities exist, at least, in the temporal fluctuation of the monsoon. One is the oscillation around 5 days period and the other is around 15 days pericd. The oscillation around 5 days period appears mainly in the range from the north Bay of Bengal through the monsoon trough region in northern India. The structure of the disturbance which causes this periodicity is examined by the method of cross spec- trum analysis. The results show that the disturbance is a westward-moving one and its longitudinal wavelength is about 30*. This disturbance seems to represent the so-called monsoon low. The vertical structure of these monsoon lows indicates that their cyclonic circulation is prevailing in the lower troposphere and the axis of the trough slightly tilts westward. Moreover, the monsoon low is accompanied with a distinct warm core in the upper troposphere. In the lower levels, the amplitude of the temperature is small and the disturbance is neither warm- nor cold cored. It is also shown that the monsoon low has a steering level at the height around 500 mb level. The oscillation around 15 days period is revealed to be in connection with the active/weak cycle of monsoon. The intense wind fluctuations associated with this cycle appear both in the upper and the lower troposphere, being in phase with each other. -
Downloaded 09/24/21 05:27 PM UTC Fig
Using Citizen Science Reports to Evaluate Estimates of Surface Precipitation Type BY SHENG CHEN, JONATHAN J. GOURLEY, YANG HONG, QING CAO, NICHOLAS CARR, PIERRE-EMMANUEL KIRSTETTER, JIAN ZHANG, AND ZAC FLAMIG he Multi-Radar Multi-Sensor (MRMS) system tree logic. To date, there has not yet been a system- uses data from the Next Generation Radar net- atic evaluation of the MRMS surface precipitation T work (NEXRAD) combined with model analyses type products beyond case studies. An opportunity from the Rapid Refresh (RAP) system to provide pre- exists to employ newly collected citizen-scientist (also cipitation rate and type products on a grid with 1-km referred to as “crowdsourced”) reports made possible horizontal resolution every 2 min (Zhang et al. 2011). through the meteorological Phenomena Indication The model analysis fields were found to be useful for Near the Ground (mPING) project to accomplish estimating precipitation type at the surface, which algorithm evaluations (Elmore et al. 2014). differs from the various Hydrometeor Classification Human weather observers have the ability to use Algorithms (HCA) designed to identify hydrometeors multiple clues in order to make a decision about at the height of radar sampling (e.g., Park et al. 2008). a given precipitation type. They typically begin These sampled hydrometeors undergo changes in with eyesight in order to assess the fall speed of the terms of their sizes, shapes, orientation, and phase as hydrometeor, its color, size, and shape. If uncertainty they fall and reach the surface. During the cool-season remains, then they may use other observations such months, these changes often occur below the height as touch to determine its phase (liquid, frozen, or of radar sampling. -
Observation of Present and Past Weather; State of the Ground
CHAPTER CONTENTS Page CHAPTER 14. OBSERVATION OF PRESENT AND PAST WEATHER; STATE OF THE GROUND .. 450 14.1 General ................................................................... 450 14.1.1 Definitions ......................................................... 450 14.1.2 Units and scales ..................................................... 450 14.1.3 Meteorological requirements ......................................... 451 14.1.4 Observation methods. 451 14.2 Observation of present and past weather ...................................... 451 14.2.1 Precipitation. 452 14.2.1.1 Objects of observation ....................................... 452 14.2.1.2 Instruments and measuring devices: precipitation type ........... 452 14.2.1.3 Instruments and measuring devices: precipitation intensity and character ............................................... 454 14.2.1.4 Instruments and measuring devices: multi-sensor approach ....... 455 14.2.2 Atmospheric obscurity and suspensoids ................................ 455 14.2.2.1 Objects of observation ....................................... 455 14.2.2.2 Instruments and measuring devices for obscurity and suspensoid characteristics .................................... 455 14.2.3 Other weather events ................................................ 456 14.2.3.1 Objects of observation ....................................... 456 14.2.3.2 Instruments and measuring devices. 457 14.2.4 State of the sky ...................................................... 457 14.2.4.1 Objects of observation ...................................... -
Climate Modeling in Las Leñas, Central Andes of Argentina
Glacier - climate modeling in Las Leñas, Central Andes of Argentina Master’s Thesis Faculty of Science University of Bern presented by Philippe Wäger 2009 Supervisor: Prof. Dr. Heinz Veit Institute of Geography and Oeschger Centre for Climate Change Research Advisor: Dr. Christoph Kull Institute of Geography and Organ consultatif sur les changements climatiques OcCC Abstract Studies investigating late Pleistocene glaciations in the Chilean Lake District (~40-43°S) and in Patagonia have been carried out for several decades and have led to a well established glacial chronology. Knowledge about the timing of late Pleistocene glaciations in the arid Central Andes (~15-30°S) and the mechanisms triggering them has also strongly increased in the past years, although it still remains limited compared to regions in the Northern Hemisphere. The Southern Central Andes between 31-40°S are only poorly investigated so far, which is mainly due to the remoteness of the formerly glaciated valleys and poor age control. The present study is located in Las Leñas at 35°S, where late Pleistocene glaciation has left impressive and quite well preserved moraines. A glacier-climate model (Kull 1999) was applied to investigate the climate conditions that have triggered this local last glacial maximum (LLGM) advance. The model used was originally built to investigate glacio-climatological conditions in a summer precipitation regime, and all previous studies working with it were located in the arid Central Andes between ~17- 30°S. Regarding the methodology applied, the present study has established the southernmost study site so far, and the first lying in midlatitudes with dominant and regular winter precipitation from the Westerlies. -
Tropical Cyclone: Climatology
ESCI 344 – Tropical Meteorology Lesson 5 – Tropical Cyclones: Climatology References: A Global View of Tropical Cyclones, Elsberry (ed.) The Hurricane, Pielke Tropical Cyclones: Their evolution, structure, and effects, Anthes Forecasters’ Guide to Tropical Meteorology, Atkinsson Forecasters Guide to Tropical Meteorology (updated), Ramage Global Guide to Tropical Cyclone Forecasting, Holland (ed.) Reading: Introduction to the Meteorology and Climate of the Tropics, Chapter 9 A Global View of Tropical Cyclones, Chapter 3 REQUIREMENTS FOR FORMATION In order for a tropical cyclone to form, the following general conditions must be present: Deep, warm ocean mixed layer. ◼ Sea-surface temperature at least 26.5C. ◼ Mixed layer depth of 45 meters or more. Relative maxima in absolute vorticity in the lower troposphere ◼ Need a preexisting cyclonic disturbance. ◼ Must be more than a few degrees of latitude from the Equator. Small values of vertical wind shear. ◼ Disturbance must be in deep easterly flow, or in a region of light upper- level winds. Mean upward vertical motion with humid mid-levels. GLOBAL CLIMATOLOGY Note: Most of the statistics given in this section are from Gray, W.M., 1985: Tropical Cyclone Global Climatology, WMO Technical Document WMO/TD-72, Vol. I, 1985. About 80 tropical cyclones per year world-wide reach tropical storm strength ( 34 kts). About 50 – 55 each year world-wide reach hurricane/typhoon strength ( 64 kts). The rate of occurrence globally is very steady. Global average annual variation is small (about 7%). Extreme variations are in the range of 16 to 22%. Variability within a particular region is much larger than global variability. Most (87%) form within 20 of the Equator. -
NATS 101 Section 13: Lecture 22 Fronts
NATS 101 Section 13: Lecture 22 Fronts Last time we talked about how air masses are created. When air masses meet, or clash, the transition zone is called a front. The concept of “fronts” in weather developed from the idea of the front line of battle, specifically in Europe during World War I How are weather fronts analogous to battle fronts in a war? Which air mass “wins” depends on what type of front it is. Four types of fronts COLD FRONT: Cold air overtakes warm air. B to C WARM FRONT: Warm air overtakes cold air. C to D OCCLUDED FRONT: Cold air catches up to the warm front. C to Low pressure center STATIONARY FRONT: No movement of air masses. A to B Fronts and Extratropical Cyclones Feb. 24, 2007 Case In mid-latitudes, fronts are part of the structure of extratropical cyclones. Extratropical cyclones form because of the horizontal temperature gradient. How are they a part of the general circulation? Type of weather and air masses in relation to fronts: Feb. 24, 2007 case mPmP cPcP mTmT Characteristics of a front 1. Sharp temperature changes over a short distance 2. Changes in moisture content 3. Wind shifts 4. A lowering of surface pressure, or pressure trough 5. Clouds and precipitation We’ll see how these characteristics manifest themselves for fronts in North America using the example from Feb. 2007… COLDCOLD FRONTFRONT Horizontal extent: About 50 km AHEAD OF FRONT: Warm and southerly winds. Cirrus or cirrostratus clouds. Called the warm sector. AT FRONT: Pressure trough and wind shift. -
P2.20 Classification of Precipitation Types During Transitional Winter Weather Using the RUC Model and Polarimetric Radar Retrievals
P2.20 Classification of precipitation types during transitional winter weather using the RUC model and polarimetric radar retrievals H.- S. Park1, A. Ryzhkov2, H. Reeves2, and T. Schuur2 1Department of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu, South Korea 2Cooperative Institute for Mesoscale Meteorological Studies, Oklahoma University and NOAA/OAR National Severe Storms Laboratory, Norman Oklahoma 1. Introduction The ability of dual-polarization radar to hydrometeor types near the ground. Third, and distinguish between precipitation types offers perhaps most importantly, the existing great potential for improving nowcasting polarimetric HCA is entirely radar-based; no capabilities for winter storms. The operational thermodynamic information is utilized in the version of the hydrometeor classification classification process. algorithm (HCA) accepted for the polarimetric In this study, an experimental version of a WSR-88D, however, was primarily developed winter precipitation classifier that uses for warm season weather and has been mainly thermodynamic information derived from a tested on summer-type storms. There is therefore numerical prediction model is developed and a need to modify and generalize the existing tested for a high-impact storm that occurred over classification routine to better address central Oklahoma on 30 November 2006. The classification issues related to transitional winter storm produced a sequence of convective rain, weather, such as the detection of freezing rain, freezing rain, and ice pellets, followed by wet and discrimination between rain, ice pellets / and dry snow with variable density. sleet, and different types of snow. To improve the HCA, we must first 2. Classes and input variables recognize shortcoming of existing classification techniques. -
Open Tobin Dissertation V2.Pdf
The Pennsylvania State University The Graduate School A MULTI-FACETED VIEW OF WINTER PRECIPITATION: SOCIETAL IMPACTS, POLARIMETRIC RADAR DETECTION, AND MICROPHYSICAL MODELING OF TRANSITIONAL WINTER PRECIPITATION A Dissertation in Meteorology and Atmospheric Science by Dana Marie Tobin 2020 Dana Marie Tobin Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2020 ii The dissertation of Dana Marie Tobin was reviewed and approved by the following: Matthew R. Kumjian Associate Professor of Meteorology Dissertation Advisor Chair of Committee Eugene E. Clothiaux Professor of Meteorology Jerry Y. Harrington Professor of Meteorology Vikash V. Gayah Associate Professor of Civil and Environmental Engineering David J. Stensrud Professor of Meteorology Head of the Department iii ABSTRACT There remain several unanswered questions related to transitional winter precipitation, ranging from the impacts that it has on society to what microphysical processes are involved with its formation. With an improved understanding of the formation and impacts of transitional winter precipitation types, it is possible to reduce or minimize their adverse societal impacts in the future by improving their detection and forecasting. Precipitation is known to have an adverse effect on motor vehicle transportation, but no study has quantified the effects of ice pellets or freezing precipitation. An investigation of the number of vehicle-related fatalities during each precipitation type reveals a bias in the number of transitional-winter-precipitation type categories such that the fatality data cannot be used as-is to quantify the impacts of precipitation on vehicle fatalities with certainty. Matching traffic crash data to nearby precipitation-type reports provides an avenue to identify periods of precipitation during which a crash occurred.