Posts

Visit to the Katugastota Meteorological Department

Image
  As part of our field visit to investigate the rainfall conditions associated with the Akurana flood on October 17, we visited the Katugastota Meteorological Department to observe the meteorological instruments and understand their data recording processes. Upon arrival, we met with the Technical Officer (TO), who introduced us to the instruments installed at the station and explained their functions. The instruments included a rain gauge for measuring rainfall, as well as equipment for recording wind direction, wind speed, atmospheric pressure and lightning activity. Figure 1 : Rain Gauge used by Met Department to measure rainfall How the Rain Gauge Works One of the main instruments demonstrated during the visit was the rain gauge, which records rainfall continuously using a mechanical recording system. The recording process involves several components: Catch: Rain falls into a funnel and flows into a narrow chamber inside the metal cylinder. Float and pen: As water collects in...
Post a Comment
Read more

Import converted data to CDT

Image
 Step 1 : Click File. Click Open Data frame. Select your converted CDT friendly data frame.     Select Comma. Keep first row as header : False Click Ok.
Post a Comment
Read more

Interpolation in CDT – Email Extracts (2022)

Interpolation in CDT (Email Extracts) 2022 Dear Dr, I have produced maps of  total rainfall for the past 8 days  ( 27- 07-2022 to 03-08-2022) for Met stations and Hydro catchment areas in Sri lanka. I couldn't find a way to plot the total rainfall of weekly data (or 8 days). Because, CDT has given the facility to take summary statistics and spatial analysis for dekadal, monthly, seasonal, annual data etc. Therefore, I used "aggregation time series- moving windows' '. Then I set the aggregation function as Sum and the rolling window as 8. After that, I was able to get the total rainfall of 8 days which shows the cumulative value on the 8th day. I visualized the last day since it shows the total rainfall while other days show as blanked. Following are those files which show total rainfall. Met Stations' total rainfall -  https://drive.google.com/ file/d/ 1MUNPOhXNLUvTxZSJHK1FZWeYlpo1I J3s/view?usp=sharing Hydro areas total rainfall -  https://drive.google.com/ file/d...
Post a Comment
Read more

AWS Metadata Report Preparation

Image
  AWS Metadata Report Preparation Monthly AWS Data Download ü  At the end of each month, we download Ambient Weather Station (AWS) data from AmbientWeather.net  (AWN) website. (email and password to access the website will be provided.) Figure 1 : ambientweather.net website ü  When you first visit the website, click on the “Log in”  option located at the top-right corner of the page. Log in using the username and password  provided to you. ü  After logging in, navigate to “My Dashboard.” Figure 2 : ambientweather.net dashboard ü  In the ‘My Stations’  section at the top center of the page, you will see a drop-down menu . ü  Click on the drop-down menu to view the working status of all stations . Figure 3 : Working status of ambient weather stations ü  Click on each station that was operational during the previous month. For example, let’s consider the Digana station. Figure 4 : Graphs and tables of AWS data ü  After selecting e...
Post a Comment
Read more

AWS Metadata Report Generator

  1. Introduction: The AWS Metadata Report Generator  is an automated tool designed to streamline the management of weather or environmental data. It allows users to upload CSV files containing time-series data (typically related to weather parameters like temperature, wind speed, humidity, etc.) and generates comprehensive reports on data availability. These reports ensure that users can easily track which data is complete, which is missing, and identify potential issues in their datasets. Furthermore, the tool organizes and uploads these files to a secure GitHub repository  for easy long-term access and organization. 2. How It Works: B reakdown of how the AWS Metadata Report Generator  functions: Uploading Data: The user uploads a CSV file containing data. This file should include a Date  column to indicate the time at which each data point was recorded. Report Generation: Once the file is uploaded, the tool processes it by identifying the available and missin...
Post a Comment
Read more