The researchers used HF radar coastal currents to generate synthetic sea surface height fields from CODAR ocean current data. They compared the CODAR heights to Jason-2 altimetry retracked using different methods in the coastal zone of California. They found the Ice3 and OCE retrackers generally matched the CODAR heights better than Red3, except during blooming events where sea state varied more. Improving altimeter retracking based on CODAR heights and sea state conditions could increase the accuracy of coastal altimetry sea surface height measurements.
Estimating the Atlantic overturning at 26N using satellite altimetry [IUGG]Eleanor Frajka-Williams
See http://eleanorfrajka.com/moc-from-space/ Slides from IUGG meeting in Prague: Estimating the Atlantic overturning circulation at 26N from satellite altimetry.
Estimating the Atlantic overturning at 26N using satellite altimetry [IUGG]Eleanor Frajka-Williams
See http://eleanorfrajka.com/moc-from-space/ Slides from IUGG meeting in Prague: Estimating the Atlantic overturning circulation at 26N from satellite altimetry.
Greetings all,
Nowadays, several datasets are -or will be- available in a near future to improve operational forecasting in most aspects, like the
ocean dynamics modeling, and the assimilation efficiency, that aims now to optimize the combination of temperature/salinity in
situ profiles, drifter's velocities, and sea surface height deduce from altimeter's data and GRACE or future Goce geoid. But also
strengthen forecasting system's applications, like the climate monitoring. For all these issues, an optimal use of ocean data,
always too sparse and not enough numerous, is mandatory.
Such studies are at the heart of this Newsletter issue. It begins with a Rio M.H. and Hernandez F. review of the Goce Mission,
dedicated to focus and document the shortest scales of the Earth's gravity field. Goce satellite is due to fly in December 2007.
With the next article Guinéhut S. and Larnicol G. investigate the influence of the in situ temperature profiles sampling on the
thermosteric sea level estimation. They show that the impact is not negligible, and can introduce large errors in the estimation. In
the second article, Benkiran M. and Greiner E. are evaluating the benefits of the drifter's velocities assimilation in the Mercator
Océan 1/3° Tropical and North Atlantic operational system. A description of the assimilation scheme upgrade to take into account
velocity control is given. Castruccio F. & al. describe in the third article the performance of an improved MDT reference for
altimetric data assimilation. They concentrate their study on the Tropical Pacific Ocean. Finally, the Newsletter comes to an end
with the Benkiran M. article. In his study, based on the 1/3° Mercator system, the impact of several altimeters data on the
assimilation performance is assessed
Have a good read
Deprem Verilerinin H/V Oranının Mevsimsel Değişimi Ali Osman Öncel
H/V oranının zaman içinde değişimi konusu bana oldukça ilginç gelmişti ve bu tür bir çalışma yapıldı mı sorusunu netleştirmek için araştırma yaptım ve 2021 yılında bu konuda GJI gibi bir dergide yayınlanmış bir çalışma buldum. Bu çalışma oldukça iyi bir referans H/V çalışmaları için. Önemli referans düşünceler şöyle; 1) Mevsimsel olarak yağışa bağlı olarak yeraltı kaynaklarında ki azalma ve yükselmeye bağlı olarak H/V yükseliyor, 2) H/V pik değerleri kaya zemin üzerinde yaklaşık BİR (1) oranında seyreder ve PİK vermezken, kaya zeminden uzaklaşıldıkça zemin etkisi ile PİK değerleri değişir, 3) Deprem ve Gürültü sinyallerinden hesap edilen F(PİK) nerede ise sabitken, H/V oranları %10 değişir, 4) M6.8 büyüklüğünde meydana gelen bir deprem H/V değişimlerini etkiler.
Yapılan çalışmada kullanılan yaklaşım SESAME (2004) kriterlerine uygun olarak 1) 60 dakikalık veriler analizi, 2) 1000 günden fazla gözlem süresi 3) 10'dan fazla farklı zeminlerde istasyon 4) 60 dakikalık birbirinden ayrı verilerin analiz edilmesi. Oldukça emek yoğun bir çalışma
The presentation comprises the Gravity Method, It's anomaly, reduction, and its applications. The Gravity method is commonly used in Geology specifically in Geophysics.
Gravity and magnetic methods are an essential part of oil exploration. They do not replace seismic. Rather, they add to it. Despite being comparatively low-resolution, they have some very big advantages.
These geophysical methods passively measure natural variations in the earth’s gravity and magnetic fields over a map area and then try to relate these variations to geologic features in the subsurface. Lacking a controlled source, such surveys are usually environmentally unobjectionable.
Greetings all,
Nowadays, several datasets are -or will be- available in a near future to improve operational forecasting in most aspects, like the
ocean dynamics modeling, and the assimilation efficiency, that aims now to optimize the combination of temperature/salinity in
situ profiles, drifter's velocities, and sea surface height deduce from altimeter's data and GRACE or future Goce geoid. But also
strengthen forecasting system's applications, like the climate monitoring. For all these issues, an optimal use of ocean data,
always too sparse and not enough numerous, is mandatory.
Such studies are at the heart of this Newsletter issue. It begins with a Rio M.H. and Hernandez F. review of the Goce Mission,
dedicated to focus and document the shortest scales of the Earth's gravity field. Goce satellite is due to fly in December 2007.
With the next article Guinéhut S. and Larnicol G. investigate the influence of the in situ temperature profiles sampling on the
thermosteric sea level estimation. They show that the impact is not negligible, and can introduce large errors in the estimation. In
the second article, Benkiran M. and Greiner E. are evaluating the benefits of the drifter's velocities assimilation in the Mercator
Océan 1/3° Tropical and North Atlantic operational system. A description of the assimilation scheme upgrade to take into account
velocity control is given. Castruccio F. & al. describe in the third article the performance of an improved MDT reference for
altimetric data assimilation. They concentrate their study on the Tropical Pacific Ocean. Finally, the Newsletter comes to an end
with the Benkiran M. article. In his study, based on the 1/3° Mercator system, the impact of several altimeters data on the
assimilation performance is assessed
Have a good read
Deprem Verilerinin H/V Oranının Mevsimsel Değişimi Ali Osman Öncel
H/V oranının zaman içinde değişimi konusu bana oldukça ilginç gelmişti ve bu tür bir çalışma yapıldı mı sorusunu netleştirmek için araştırma yaptım ve 2021 yılında bu konuda GJI gibi bir dergide yayınlanmış bir çalışma buldum. Bu çalışma oldukça iyi bir referans H/V çalışmaları için. Önemli referans düşünceler şöyle; 1) Mevsimsel olarak yağışa bağlı olarak yeraltı kaynaklarında ki azalma ve yükselmeye bağlı olarak H/V yükseliyor, 2) H/V pik değerleri kaya zemin üzerinde yaklaşık BİR (1) oranında seyreder ve PİK vermezken, kaya zeminden uzaklaşıldıkça zemin etkisi ile PİK değerleri değişir, 3) Deprem ve Gürültü sinyallerinden hesap edilen F(PİK) nerede ise sabitken, H/V oranları %10 değişir, 4) M6.8 büyüklüğünde meydana gelen bir deprem H/V değişimlerini etkiler.
Yapılan çalışmada kullanılan yaklaşım SESAME (2004) kriterlerine uygun olarak 1) 60 dakikalık veriler analizi, 2) 1000 günden fazla gözlem süresi 3) 10'dan fazla farklı zeminlerde istasyon 4) 60 dakikalık birbirinden ayrı verilerin analiz edilmesi. Oldukça emek yoğun bir çalışma
The presentation comprises the Gravity Method, It's anomaly, reduction, and its applications. The Gravity method is commonly used in Geology specifically in Geophysics.
Gravity and magnetic methods are an essential part of oil exploration. They do not replace seismic. Rather, they add to it. Despite being comparatively low-resolution, they have some very big advantages.
These geophysical methods passively measure natural variations in the earth’s gravity and magnetic fields over a map area and then try to relate these variations to geologic features in the subsurface. Lacking a controlled source, such surveys are usually environmentally unobjectionable.
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.
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
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
When stars align: studies in data quality, knowledge graphs, and machine lear...
ppt pres coastalt 2011.ppt
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3. CALIFORNIAN CODAR DATA SET At least 2 radar overlapping fields are needed to derive the currents Using 2008 & 2009 hourly CODAR measured ocean surface currents on a resampled and post processed 6 km and 2 km grid. Courtesy of Sung Yon Kim, Scripps Institute of Oceanography. Long range Short range Frequencies 4.66 MHz 13.54 MHz Resolution 6 km 2 km Up to 150 km 50 km offshore
4. Bathymetry and geography in the coastal transition zon e Data set geography Around Monterey Bay Red Lines : bathymetry, 100 m and 250 m Blue Lines : bathymetry, every 1000 m from 1000 to 4000 m every 1000 m from 500 to 3500 m Green Line : boundary of 6 km CODAR set ~ 150 km from shore In order to retrieve the geostrophic currents from the total velocity surface derived from HF radar, an analysis of the time and spatial scales of the coastal oceanic features is done. These features are expected to vary with the distance to the coastline and or bathymetry, and thus may vary regionally
5. CODAR TIME and SPATIAL SCALES Time scale 10 days in the open ocean 3 days near the coast From temporal covariance of velocities at zero spatial lag averaged over 2008 3 day averaging as a first approximation to the geostrophic flow binned according to spatial lag X and Y normalized and averaged over 2008. Looking at the shape of the velocity covariances we will assume that locally, the homogeneous isotropic turbulent model is adequate . Spatial Scale Covariances of CODAR velocity Cuu and Cvv for 10 km width regions Cuu u cross shelf velocity Cvv v along shelf velocity
6. Spatial scales For homogeneous isotropic turbulence, velocity covariances are related to the stream-function covariance We use the Waldstat (1991) streamfunction spatial covariance : And find parameters : For zone 50-60 km : a = 50 km, b = 70 km For zone 20-30 km: a = 35 km, b = 50 km C ψψ = ( 1 - (r⁄b) 2 ) exp( -(r⁄a) 2 ) Fitted Observed Optimal Interpolation (OI) [Bretherton et al. (1976)] to derive the estimated streamfunction
7. CODAR Geostrophic heights field Region of P221 going through Monteray bay . The complex bathymetry generates the formation of Eddies. And this region is prone to have large SLA variations. 3 day-averaged CODAR total currents minus a Mean current derived from the 0.02° gridded DNSC08 MSS This mean was chosen due to the short span of the CODAR time series. A Mean dynamic topography should be removed, but would have more errors in the coastal region. In the OI, the spatial scales L vary locally as a function of the grid point distance to coast, and only the surrounding observations at a distance less than L are considered. The noise error for the CODAR was chosen to be constant = 15 cm/s although in reality it varies depending on the radar geometry, and weather conditions, and in our case to how close the geostrophic assumption is valid. CODAR ocean currents u,v 3 day- averaged - Mean derived from DNSC08MSS OI varying spatial scales Synthetic height fields
8. CODAR 2 km Geostrophic field Right : Effect of using a single spatial scale chosen at the 50 km zone (top), and the improved resolution using a varying spatial scale (bottom) Left : A close up of the improved map underlying the input CODAR vectors cm
9. 6 & 2 km CODAR SSH Along track P221 At the time of J1 passage More variations in the 2 km set. But the 6 km set enables us to get information further offshore. Later we combine both resolution products.
10. CODAR & weekly Merged MSLA Aviso product: Weekly merged MSLA on a 1/3 °x1/3° grid, for 2008 CODAR SSH computed directly on the MSLA grid.
11. 6-km-Codar and J2 SSH on P221 for 2009 Interpolated at the J along track P221 JASON Corrected SSH Along track P221 Distances more than 20 km off coast Smoothed 25 km Smoothed 50 km Mean of time Series removed CODAR ocean currents u,v 3 day- averaged - Mean current derived from DNSC08MSS OI varying spatial scales Synthetic height fields Comparison
12. J2 PISTACH coastal product resampled to 1 Hz using the MLE4 Ocean Brown model retracked range : Sea level relative to the DNSC08 MSS, all corrections applied. We generate two smoothed SSH sets: cut-off frequency of 25 km cut-off frequency of 50 km Codar 6 km Along track SSH amplified by 2 Mean of all time series removed 6-km-Codar and J2 SSH on P221 for 2009 OCE
13. 6-km-Codar and J2 SSH on P221 for 2009 ( cont.) 2x{Codar} SSH filt 25 km SSH filt 50 km OCE
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15. J2 PISTACH Retrackers Data : Aviso 20 Hz-J2 PISTACH coastal product Oce : ku Band range: Deep ocean Brown model: MLE4 (range, amplitude, significant wave height & mispointing angle) Red3 : MLE3 Ice3 : 30 % threshold Time period: 2009 Extracted range from 3 retrackers : ( from PISTACH handbook) Principe of the Ice3 algorithm ( from PISTACH handbook) Done on a smaller window selected around the leading edge
16. J2 retrackers & 6-km-CODAR for P221 2x{Codar} SSH filt 25 km SSH filt 50 km If we assume Codar SSH to be the best estimate of the geostrophic field, then we can evaluate the retracking techniques. At this point, the shapes are more important than the exact values. cm C006 C007 Along track distance ( km) For these first 4 cycles it seems that Ice3 fits better to the Codar SSH. Although they are quite similar except for the third case on C021, Feb -03 OCE
17. J2 retrackers & 6-km-CODAR for P221 Here we only keep the best visually retracker fit either Ice3 or OCE, for the first 16 cycles of 2009 2x{Codar} SSH filt 25 km SSH filt 50 km The averaged correlation is now 0.82 OCE OCE OCE OCE
18. Closer to shore use of 20 hz Pistach & Codar 2 km To filter the noisy 20 hz data: iterative median and low Pass filter with a 3-sigma data selection [ Dufau Claire,2011] With wave length L = 21 points ( 7 km ) L = 61 points ( 21 km ) Sea level relative to a MSS, all corrections applied: use of decontaminated water vapor corr, GIMP ionospheric corr, SSB included ( may not be reliable over continental shelf) 3x{ Codar 2 km} Mean of time series removed Ice3 retracked range Good fit Phase shift wiggles
19. Jason-2 Ku 20 Hz Waveform time series for P221 median tracker algorithm, Diode acquisition mode In some places the leading edge of the WF deviates from the predetermine tracker gate 31. They correspond with large offsets between Codar and altimetry SSH. The median tracker algorithm uses the WF to update the tracker range. So large deviations could give us a clue to possible changes in WF shape and errors in retracking ranges. Gate number Along track distance from coast
20. sig0 and unretracked range relative to MSS MLE4 Ku-band sig0 (dB) Unretracked range relative to MSS Oce retracked – unretracked range Strong correlation ( > 0.7) when sig0 > 15 dB If not lower ( 0.6 ) due to signal to noise level Sig0 = radar return backscattering cross section C019, Jan 15 C031, May 14 C030, May 04
21. sig0 and unretracked range relative to MSS J2, Jan 15 J1, Jan 15 Median tracker algorithm Split gate tracker algorithm J2 and J1 in flying phase formation, same orbit , 54 s delay Both tracker algo behave similarly with a slight difference in the sensitivity of the echo shape However the (sig0, unretracked range) relationship disappear when J2 is in the Diode/DEM coupling mode, because the tracking operations do not depend on echoes analysis anymore . Diode/DEM mode J2, Jun12
22. Sigma0 blooms Altimetry data degraded by high sig0 [ Tournadre 2006, Thibaut 2007] Occur in presence of weak winds ( cm scale waves absent) surface slick WF may be corrupted due to the non uniform sig0 in the altimeter footprint with localized highly reflecting patches. various possible WF distortions Consecutive 20 Hz WF, 30 km offshore in presence of a blooming event. Trailing edge increasing Peakiness increased V shape or Round pattern similar to rain events J2 C021 Feb03
23. Variations in sea states : Sig0 and SWH MLE4 retracked Sig0 (dB) 2x{SWH} (m) Occurrence, size and strength of blooming events variable Dots: regions where Ice3 and Red3 ranges diverge 1 Blooms 30 km and 140 km 4 Blooms before 40 km and after 60 km SWH variable 5 Sig0 > 15 dB SWH high and variable 2 Bloom 30 km SWH high 3 Sig0 < 14 dB No blooms 6 Sig0 ~ 15 dB A lit bloom at 140 km C019, Jan 15 C021, Feb 03 C030, May 04 C034, Jun 12 C031, May 14 C026, Mar 25
24. Behavior of Ice3 and Red3 range related to the sea state 3 6 1 Along track distance from coast Along track distance from coast Ice 3 retracker Red 3 retracker C019 Jan 15 C019 Jan 15 No blooming events Ice 3 performs well and better. Sig0 stays below 15 dB SWH < 2.5 m Ice3 behaves well closer than 50 km , then Red3 until a little blooming event around 140 km Sig0 is about 15 dB SWH < 1.5 m Ice3 fits well closer than 50 km when a strong blooming event starts, then Red3, until the next blooming event around 140 km SWH < 2 m
25. Behavior of Ice3 and Red3 range related to the sea state 2 5 Along track distance from coast Ice 3 retracker Red 3 retracker After the close to shore blooming event ( < 30 km), Red3 performs better, though it seems noisy. High SWH Sig0 > 15 dB and high ; High variations of SWH Ice3 and Red3 behave in a similar way and do not perform well. A different retracking method should be adapted to this situation.
26.
27. Questions? Thank you Carolyn Roesler, William J. Emery and Waqas Qazi CCAR Aerospace Eng. Sci. Dept. University of Colorado at Boulder