Hydroclimatology of Sariz Creek Watershed, Located In Seyhan Basin, And Simulation Of The Snowmelt Runoff Using Remote Sensing And Geographic Information Systems (Mountain Watershed Case Study). Presented by Ibrahim Gürer at the "Perth II: Global Change and the World's Mountains" conference in Perth, Scotland in September 2010.
Hydroclimatology of Sariz Creek Watershed, Located In Seyhan Basin, And Simulation Of The Snowmelt Runoff Using Remote Sensing And Geographic Information Systems (Mountain Watershed Case Study). Presented by Ibrahim Gürer at the "Perth II: Global Change and the World's Mountains" conference in Perth, Scotland in September 2010.
Weather!: Meteorology and Meteorological Collections at the Royal Irish Acade...The Royal Irish Academy
Weather!: Meteorology and Meteorological Collections at the Royal Irish Academy and Met Éireann - Mairéad Treanor, Librarian, Met Éireann. For additional information including audio recordings to accompany this presentation please click here - http://www.ria.ie/library/exhibitions/lunchtime-lecture-series.aspx.
Disclaimer:
The Royal Irish Academy has prepared the content of this website responsibly and carefully, but disclaims all warranties, express or implied, as to the accuracy of the information contained in any of the materials. The views expressed are the authors’ own and not those of the Royal Irish Academy.
Remote sensing products in support of crop subsidy in MexicoCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
I encourage you to visit my blog (danherr.com/2012/01/22/ams-renewable-energy-jobs/) for the true transcript of my presentation and the recorded video.
Talk given by Daniel Herr on Job Opportunities for Meteorological Students in Clean Energy at the 2012 American Meteorological Society Conference in New Orleans, Louisiana on Saturday the 21st of January, 2012. **Please be aware that some of the fonts changed the look of the slides during upload**
This presentation created and addressed by Jesús Fernandez (University of Cantabria) in the intensive three day course from the BC3, Basque Centre for Climate Change and UPV/EHU (University of the Basque Country) on Climate Change in the Uda Ikastaroak Framework.
The objective of the BC3 Summer School is to offer an updated and multidisciplinary view of the ongoing trends in climate change research. The BC3 Summer School is organized in collaboration with the University of the Basque Country and is a high quality and excellent summer course gathering leading experts in the field and students from top universities and research centres worldwide.
Factors affecting monsoon precipitation in NepalSagar Parajuli
I did a brief study about the factors affecting monsoon precipitation in Nepal few months ago for a class project. I am sharing the slides as it is relevant to the recent flooding in north India and Nepal.
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
Weather!: Meteorology and Meteorological Collections at the Royal Irish Acade...The Royal Irish Academy
Weather!: Meteorology and Meteorological Collections at the Royal Irish Academy and Met Éireann - Mairéad Treanor, Librarian, Met Éireann. For additional information including audio recordings to accompany this presentation please click here - http://www.ria.ie/library/exhibitions/lunchtime-lecture-series.aspx.
Disclaimer:
The Royal Irish Academy has prepared the content of this website responsibly and carefully, but disclaims all warranties, express or implied, as to the accuracy of the information contained in any of the materials. The views expressed are the authors’ own and not those of the Royal Irish Academy.
Remote sensing products in support of crop subsidy in MexicoCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
I encourage you to visit my blog (danherr.com/2012/01/22/ams-renewable-energy-jobs/) for the true transcript of my presentation and the recorded video.
Talk given by Daniel Herr on Job Opportunities for Meteorological Students in Clean Energy at the 2012 American Meteorological Society Conference in New Orleans, Louisiana on Saturday the 21st of January, 2012. **Please be aware that some of the fonts changed the look of the slides during upload**
This presentation created and addressed by Jesús Fernandez (University of Cantabria) in the intensive three day course from the BC3, Basque Centre for Climate Change and UPV/EHU (University of the Basque Country) on Climate Change in the Uda Ikastaroak Framework.
The objective of the BC3 Summer School is to offer an updated and multidisciplinary view of the ongoing trends in climate change research. The BC3 Summer School is organized in collaboration with the University of the Basque Country and is a high quality and excellent summer course gathering leading experts in the field and students from top universities and research centres worldwide.
Factors affecting monsoon precipitation in NepalSagar Parajuli
I did a brief study about the factors affecting monsoon precipitation in Nepal few months ago for a class project. I am sharing the slides as it is relevant to the recent flooding in north India and Nepal.
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
This study explains the use of remote sensing data for spatially distributed hydrological modeling using the MIKE-SHE software used in Tarim River Basin CHINA
A comparative study of different imputation methods for daily rainfall data i...journalBEEI
Rainfall data are the most significant values in hydrology and climatology modelling. However, the datasets are prone to missing values due to various issues. This study aspires to impute the rainfall missing values by using various imputation method such as Replace by Mean, Nearest Neighbor, Random Forest, Non-linear Interactive Partial Least-Square (NIPALS) and Markov Chain Monte Carlo (MCMC). Daily rainfall datasets from 48 rainfall stations across east-coast Peninsular Malaysia were used in this study. The dataset were then fed into Multiple Linear Regression (MLR) model. The performance of abovementioned methods were evaluated using Root Mean Square Method (RMSE), Mean Absolute Error (MAE) and Nash-Sutcliffe Efficiency Coefficient (CE). The experimental results showed that RF coupled with MLR (RF-MLR) approach was attained as more fitting for satisfying the missing data in east-coast Peninsular Malaysia.
Downscaling global climate model outputs to fine scales sanjaya ratnayakePixel Clear (Pvt) Ltd
Even though standard precipitation index (SPI) is not a drought predicting tool using downscaled results it was possible to forecast SPI. Forecasted SPI can use for two purposes. Firstly, in order to implement better drought relief payment policy. Secondly, to better water resource planning in order to reduce agriculture risk. Statistical downscaling procedure was developed over Sri Lanka for drought risk. The system was based on Climate Information tool Kit 2.0 (CLIK) by Asia-Pacific Economic Corporation (APEC) Climate Center (APCC). As the predictor region El Niño Southern Oscillation (ENSO) region was considered because recent droughts are more influenced by ENSO compared to traditional South West monsoons (SWM) and North East monsoon (NEM) for the island. Seasonal drought study was carried out considering 3 months intervals for 4 seasons January to March (JFM), April to June (AMJ), July to September (JAS) and October to November (OND). In order to identify optimal SPI scales, models, variables and NINO regions for each season a preliminary study was carried out using a sample stations and based on the results detailed study was carried out for 34 stations covering central and southern parts of the island. Heidke skill score was considered as the categorical verification measure. In order to improve the magnitude of forecasted SPI 2 variance inflation techniques were employed. In CLIK multi model ensemble (MME) predictions were tested considering 3 deterministic models: simple composition method (SCM), multiple regression method (MRG) and synthetic multi model super ensemble method (SSE). However due to low resolution regression based downscaling was considered. Interestingly central high hills showed a very high correlation with ENSO during OND. For highly skilled stations drought characteristics such as trends, onset, duration, frequency and severity can be calculate. Our results highlight that CLIK is skillful over Sri Lanka. Specially in identifying best downscaling characteristics over a station.
The steps are as follows:
Step 1: installing required libraries to R environment
Step 2: Generating Token Key from Facebook
Step 3: Retrieving Information from Facebook
Step 4: Advance Graphical Representation
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Develop statistical model to predict extreme precipitation through
1. Predict Sri Lanka Extreme
Precipitation through El Nino
Southern Oscillation
R.M.S.P. Ratnayake
PGIS/SC/M.Sc./ APS/10/20
MSc in Applied Statistics
Post Graduate Institute of Science/
University of Peradeniya
2. Over view
• Introduction
• Motivation and Background
• Problem
• Objectives
• Hypothesis
• Methodology
• Organization
• Time Frame
3. Introduction
• Sri Lanka economy mainly depend on
Agriculture Industry.
• Sri Lankan Agriculture mainly depend on two
monsoons.
• Therefore extreme precipitation changes the
natural agriculture cycle.
• Expose to Disaster and Hazard potentials.
4. Problem
• Extreme Precipitation requires extra effort
beyond basic Statistical Analysis.
• There is no proper model to predict Extreme
Precipitation.
• Heavy Precipitation is a result of multiple
courses.
• Sri Lanka climate data are spatially coherent.
• Analysis required longer period precipitation
data
5. Motivation and Background
Case Study : Early 2011 rainfall
No of Affected Families 268544
No of Affected People 990471
No of Reported Deaths 18
No of Injuries 24
No of Missing People 3
No of Fully Damaged Houses 4216
No of Partially Damaged Houses 22186
Department of Metrology : Sri alnka
6. Objectives
• Identify Relationship between Extreme
Precipitation and ENSO.
• Develop a model to relate Extreme
Precipitation and ENSO.
• Validate defined model with recent data.
7. Hypothesis
• Null hypothesis that
“There is a significant relationship between
extreme precipitation and ENSO behaviour.”
• Against the alternative hypothesis that
“There is no significant relationship between
extreme precipitation and ENSO behaviour. ”
8. Others Work
• 2009 – Comparative analysis of indices of extreme
rainfall events: variations and trends from Mexico
• 2008 - Predictability of Sri Lankan rainfall based on
ENSO
• 1998 – ENSO influence on Intraseasonal Extreme
Rainfall and Temperature Frequency in the
Contiguous United State: Implications for Long
Range Predictability
• 2011 – Research on the Relationship of ENSO and
the Frequency of Extreme Precipitation Events in
China
9. Methodology : Overview
• Data Collection
• Defining Threshold value
• Analysis
– Distribution of Data
– Identifying Extreme Percentile
– Spatial Distribution of Extreme Precipitation
– Correlation Analysis
– Time Series Analysis
10. Methodology : Data Collection
• Quarterly Cumulative Rainfall data
• At least 50 years
• 11 out of 21 Stations
• Treating missing rainfall data : By Multiplying
each year value by multiplying N/(N-m)
• NINO 3.4 – monthly data from 1951 to 2002
11. Methodology : Threshold value
• Gamma Distribution is used.
• Rainfall above 95% percentile.
• Separately calculated to Individual Stations
and All Island.
13. Methodology : Analysis
• Correlation Analysis between ENSO and Seasons
January - March
April - June
July - September
October - December
14. Methodology : Analysis
• Correlation Analysis between ENSO and
Different Stations and All Island
Anuradhapura Mannar
Batticoloa Nuwara Eliya
Colombo Puttalam
Hambanthota Ratmalana
Kankasanthure Trincomalee
Katunayake
15. Expected Results End of the Research
• In JFM/ AMJ/ JAS/ OND Extreme Precipitation
days in Anuradhapura/ Batticoloa/ Colombo/
Hambanthota/ Kankasanthure/ Katunayake/
Mannar/ Nuwara Eliya/ Puttalam/ Ratmalana/
Trincomalee/ All Island are significantly More
or Less Frequent in El Nino than La Nino
17. Organization
• Irrigation Department
• Department of Meteorology of Sri Lanka
• Foundation of Environment and Climate
Technology
• Institute of Post Graduate Studies – University
of Peradeniya.
18. Time Line
Require Data Data Study Analyzing Developing Testing Report Presentation
ment Gathering Arranging Existing Model and preparation
Analysis Approaches Validating
Week1
Week2
Week3
Week4
Week5
Week6
Week7
Week8
Week9
Week10
Week11
Week12
19. Acknowledgement
• Dr. Lareef Zubair at Foundation of
Environment and Climate Technologies,
Dhigana.
• Eng. R.M.W. Ratnayake at Director (Water
Resources) Ministry of Irrigation and Water
Resource Management.
• Post Graduate Institute of Science University
of Peradeniya
20. Thanking you
Weather is a great metaphor for life -
sometimes it's good, sometimes it's bad, and
there's nothing much you can do about it but
carry an umbrella.
~Terri Guillemets