This document summarizes research on measuring all-weather wind speeds using both passive microwave radiometers and active microwave scatterometers. It discusses the challenges of high wind speeds (>20 m/s) and winds in rain, and improvements made to wind retrieval algorithms. An improved Ku-band geophysical model function (GMF) for QuikSCAT was developed using WindSat winds for validation. Comparisons show WindSat provides more accurate winds than QuikSCAT in rain. The study concludes that while passive radiometers have strengths at high winds and in rain, scatterometers remain impacted without dual-frequency capabilities.
The Aerial Wetted Path of Geostationary Transmissionijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
The Aerial Wetted Path of Geostationary Transmissionijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
TRACKING ANALYSIS OF HURRICANE GONZALO USING AIRBORNE MICROWAVE RADIOMETERjmicro
There is a huge consideration in the use of microwave airborne radiometry for remote sensing instead of satellite, the important role of airborne way is how to provide high accuracy real time data. The airborne hurricane tracking is an important method compared with the space borne method, which is developed by NASA Marshall Space Flight center to provide high resolution measurements. By flying special aircraft equipment using synthetic thinned array radiometry technology and included all critical measurements such as hurricane eye location, speed of wind and the pressure. This paper describes the data analysis of best track positions for Hurricane Gonzalo based on the date collected by airborne microwave radiometry. Significant analysis comes from comparing the airborne data with the surface observations from ship reports. The vast majority is to estimate peak intensity and minimum central pressure of Gonzalo from 12 to 19 October 2014, based on blend of SFMR flight-level winds and pressure retrievals from observing brightness temperatures. SFMR: Stepped-Frequency Microwave Radiometer is a highly developed tool developed by the Langley Research Center that is designed to measure the wind speed at the ocean’s surface, and the rain fall rates within the storm accurately and continuously. The work also addresses the realistic details of the locations and the valuable information about the pressure and wind speed, which is very critical to predict the growth and movement to get the idea for future monitoring of the hurricane disasters. Also presents a conceptual of step frequency microwave radiometer in airborne side. The objective of this research is tracking analysis techniques based on comparing the satellite, ship and airborne reports to get higher accuracy. The system operates at four spaced frequencies in the range between 4 GHz and 7 GHz provides wide measurements between ± 45 incidence angle. Gonzalo 2014 is an example; the best results of retrieved wind speed, locations and pressure are presented. There are several national projects have been developed for earth observation, such as fire, hurricane and border surveillance. In this work, the efficient high resolution techniques of C-band, four-frequency, the work also addresses a valuable information comes from the airborne system and the prediction way of the growth and movement of hurricanes. In passive microwave remote sensing from space at C band has the penetrating advantages of atmosphere. Airborne system is able to work in full Polari-metric in four bands, C, X, S, L and P-band, which cover the wavelengths from 3 to 85 cm. The modes of measurement contain single channel operation wavelength and polarization.
Composite sea level prediction in the Mediterranean
Sea - comparisons with observations
By Florent Lyard and Laurent Roblou
Abstract
In this presentation, we focus on the sea level recorded and modelled in the Mediterranean Sea during the year
2002. Two dynamical models are made available to us, the first one designed to solve the ocean circulation
(Mercator Psy2-v1 (Newsletter Mercator N°8)) and the second one to solve the tide and storm surge processes
(Mog2D). We challenge the assumption that a combined use of those two models (i.e. through a full or partial
summation) should provide an optimal sea level predicting tool. By comparing with tide gauge measurements, the
predicting skills of models, alone and/or combined together, are estimated for different frequency ranges. The
two major conclusions that can be drawn from this study is that first a combination of low-pass filtered Mercator
plus Mog2D closely fits the recorded data, and second the Mog2D low frequency sea level signal is surprisingly
needed in this combination to obtain the best prediction (instead of the low-pass filtered Inverted Barometer
(IB)). Further investigations will be necessary to understand precisely the reasons of the latter finding.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
JMeter webinar - integration with InfluxDB and Grafana
presentation_meissner.pptx
1. IGARSS 2011 Vancouver, BC, Canada July 26, 2011 All-Weather Wind Vector Measurements from Intercalibrated Active and Passive Microwave Satellite Sensors Thomas Meissner Lucrezia Ricciardulli Frank Wentz
2. Outline Passive (radiometer: WindSat) vs active (scatterometer: QuikSCAT) wind speed retrievals: Surface emissivity versus radar backscatter. Ocean Surface Emissivity Model. Overview: RSS WindSat version 7 ocean products. WindSat all-weather wind speeds. Improved QuikSCAT Ku2011 geophysical model function. Validation. High winds. Rain impact study. Selected storm case: Hurricane Katrina. Conclusion: active vs passive - strength +weaknesses.
3. Passive vs Active Wind Speeds Passive (radiometer) Sees change in emissivity of wind roughened sea surface compared with specular surface Low winds: Polarization mixing of large gravity waves. High winds: Emissivity of sea foam. Radiative Transfer Model (RTM) function for wind induced surface emissivity. Active (scatterometer) Sees backscatter from the Bragg-resonance of small capillary waves. Geophysical Model Function (GMF) for wind induced radar backscatter. Calibration Ground truth: Buoy, NWP wind speeds
4. Challenge 1: High Wind Speeds (> 20 m/s) Passive (radiometer) Lack of reliable ground truth. (buoys, NWP) for calibration and validation. Tropical cyclones: High winds correlated with rain (challenge 2). Active (scatterometer) Lack of reliable ground truth. (buoys, NWP) for calibration and validation. Tropical cyclones: High winds correlated with rain (challenge 1). Loss of sensitivity (GMF saturates).
5. Challenge 2: Wind Speeds in Rain Passive (radiometer) Rainy atmosphere attenuates signal. Emissivity from rainy atmosphere has similar signature than from wind roughened surface. Scattering from rain drops is difficult to model. Active (scatterometer) Rainy atmosphere attenuates signal. Backscatter from rainy atmosphere has similar signature than from wind roughened surface. Scattering from rain drops is difficult to model. Splash effect on surface. Rain flagging difficult for single frequency sensor.
6. Ocean Surface Emissivity Model Crucial part of Radiative Transfer Model (RTM). Physical basis of passive wind retrieval algorithm. Dielectric constant of sea water. Wind induced sea surface emissivity. Derived from WindSat and SSM/I TB measurements. Winds < 20 m/s: Buoys. NWP. Scatterometer. Winds > 20 m/s: HRD wind analysis (hurricanes). SFMR data. T. Meissner + F. Wentz, IEEE TGRS 42(9), 2004, 1836 - 1849 T. Meissner + F. Wentz, IEEE TGRS, under review
7. Ocean Surface Emissivity Model (cont.) Measured minus computed WindSat TB as function of SST (x-axis) and wind speed (y-axis).
8. Overview: RSS Version 7 Ocean Products Intercalibrated multi-platform suite. 100 years of combined satellite data. Climate quality. DMSP SSM/I, SSMIS F8, F10, F11, F13, F14 ,F15, F16, F17 TRMM TMI AMSR-E, AMSR-J WindSat V7 released V7 release in progress QuikSCAT
9. RSS WindSat Version 7 Ocean Products Optimized swath width by combining forand aft looks at each band.
10. New in V7 Radiometer : Winds Through Rain Version 6: Rain areas needed to be blocked out. Version 7: Rain areas have wind speeds. C-band (7 GHz) required: WindSat, AMSR-E, GCOM Possible with only X-band (11 GHz): TMI, GMI. Residual degradation in rain.
11. WindSat Wind Speed Algorithms No-rain algorithm (≥10.7 GHz, 32 km res.) Physical algorithm. Trained from Monte Carlo simulated TB. Based on radiative transfer model (RTM). Wind speed in rain algorithms (≥6.8 GHz, 52 km res.) Statistical or hybrid algorithms Trained from match-ups between measured TB and ground truth wind speeds in rainy conditions. Utilizes spectral difference (6.8 GHz versus 10.7 GHz) in wind/rain response of measured brightness temperatures. Same method is used by NOAA aircraft step frequency microwave radiometers (SFMR) to measure wind speeds in hurricanes. Radiometer winds in rain: T. Meissner + F. Wentz, IEEE TGRS 47(9), 2009, 3065 - 3083
12. WindSat All-Weather Wind Speeds Blending between no-rain, global wind speed in rain and H-wind (tropical cyclones) algorithms. Depends on SST, wind speed and cloud water. Smooth transitions between zones. L=0.2 mm W=15 m/s H-Wind Algo (tropical cyclones) No-Rain Algo SST=28oC SST Global Rain Algo Wind Speed Liquid Water
13. WindSat Wind Speed Validation 2-dimensional PDF: WindSat versus CCMP (cross-calibrated multi-platform) wind speed. Rain free and with rain.
14. WindSat Wind Validation at High Winds (1) Renfrew et al. QJRMS 135, 2009, 2046 – 2066 Aircraft observations taken during the Greenland Flow Distortion Experiment, Feb + Mar 2007. 150 measurements during 5 missions. Wind vectors measured by turbulence probe. Adjusted to 10m above surface.
15. Improved QuikSCAT Ku2011 GMF: Purpose Improvement at high wind speeds. When RSS Ku2001 was developed (Wentz and Smith, 1999), validation data at high winds were limited. GMF at high winds had to be extrapolated. Analyses showed Ku2001 overestimated high winds. WindSat wind speeds have been validated. Confident up to 30 – 35 m/s. Emissivity does not saturate at high winds. Good sensitivity. Excellent validation at low and moderate wind speeds < 20 m/s (Buoys, SSM/I, CCMP, NCEP,…), > 20 m/s: Aircraft flights. WindSat can be used as ground truth to calibrate new Ku-band scatterometer GMF. Produce a climate data record of ocean vector winds. Combining QuikSCAT with other sensors using consistent methodology.
16. Improved QuikSCAT Ku2011 GMF: Development The GMF relates the observed backscatter ratio σ0 to wind speed w and direction φat the ocean’s surface. To develop the new GMF we used 7 years of QuikSCAT σ0 collocated with WindSat wind speeds (90 min) and CCMP (Atlas et al, 2009) wind direction. WindSat also measures rain rate, used to flag QuikSCAT σ0 when developing GMF. We had hundreds of millions of reliable rain-free collocations, with about 0.2% at winds greater than 20 m/s.
18. Rain Impact: WindSat/QuikSCAT vs Buoys Table shows WindSat/QuikSCAT – Buoy wind speed as function of rain rate (5 years of data)
19. Rain Impact: WindSat/QuikSCAT/CCMP Figures show WindSat – CCMP and QuikSCAT – WindSat wind speeds as function of wind speed and rain rate. 5 years of data. No rain correction for scatterometer has been applied yet. With only single frequency (SF) scatterometer (QuikSCAT, ASCAT) it is very difficult to Reliably flag rain events Retrieve rain rate which is needed to perform rain correction
20. Rain Impact on Scatterometer: Caveat Rain impact depends on rain rate + wind speed: At low wind speeds: QuikSCAT wind speeds too high in rain. At high wind speeds: QuikSCAT wind speeds too low in rain. Important: Correct GMF at high wind speeds. Ku2001 wind speeds too high at high wind speeds. Accidental error cancellation possible in certain cases.
21. WindSat all-weather wind QuikSCAT Ku 2011 wind Hurricane Katrina08/29/2005 0:00 Z HRD analysis wind WindSat rain rate
22. Active vs Passive - Strength + Weaknesses WindSat and QuikSCAT V7 Data Sets available on www.remss.com + +very good + slightly degraded strongly degraded / impossible Assessment based on operating instruments: Polarimetric radiometer (WindSat). Single frequency scatterometer (QuikSCAT, ASCAT, Oceansat).
