Surge 2x Download [VERIFIED]

Thanks to the generosity of @Kurasu (owner of Vember Audio), Surge has been open sourced and lives on GitHub. This page you're reading right now. Yup! This one right here. It's a part of the surge-synthesizer GitHub project.

This page highlights resources that can help health care workers address pediatric surge in viral respiratory illnesses impacting hospital capacity. Access the following Centers for Disease Control and Prevention webpages for the most current RSV, influenza, and COVID-19 surveillance information:

Surge 2x Download

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This example illustrates water level differences for storm surge, storm tide, and a normal (predicted) high tide as compared to sea level. Storm surge is the rise in seawater level caused solely by a storm. Storm tide is the total observed seawater level during a storm, which is the combination of storm surge and normal high tide. | Download this graphic

The MRSE is designed to examine and evaluate the ability of HCCs and other stakeholders to support medical surge. Placing stress on the health system is important for testing current response systems, identifying gaps in preparedness, and informing improvement planning.

Storm surge can devastate coastal communities. The first version of the P-Surge model, released in 2008 by NOAA's Meteorological Development Laboratory, was galvanized by the significant impacts of storm surge on communities along the Outer Banks of North Carolina and southeast Virginia following Hurricane Isabel in 2003.

P-Surge brings a probabilistic approach to the modeling of storm surge by generating a range and likelihood of possible storm surge values. It is run in advance of hurricanes and tropical storms that may impact the Atlantic and Gulf coasts, and now Puerto Rico and the U.S. Virgin Islands.

In 1997, Coca-Cola started production of Surge in the United States, with its original whitepaper name being "MDK," or "Mountain Dew Killer."[3] It was developed to converge with Mello Yello as a means of slowing Mountain Dew growth. Coke's attempts to draw users away with divergent products like OK Soda or with similar ones like Mello Yello had not succeeded. Surge was intended to improve on Mountain Dew by using maltodextrin for a longer-lasting blast of energy and with bolder, brighter presentation. Its release was accompanied by a $50 million nationwide marketing campaign that led to high sales and popularity. A few years after the release, sales began to slip. Surge continued to be sold in vending machines, and 5-foot-7-inch-tall (1.70 m) promotional surge coolers. The Surge coolers were placed in high traffic areas in gas stations as a key promotion to push sales away from competitors coolers in the back of stores all over the United States. Surge could be found in cans and fountain drinks until its eventual discontinuation in 2003.[1][4]

Pediatric surge is unique due to the specialized equipment and resources needed for pediatric patients. MDH has identified the need for more pediatric education, training, and a Minnesota Pediatric Surge Plan to ensure our state is capable of responding to a statewide pediatric surge disaster.

Never had a conversation about pediatric preparedness? Start here! Use these tools as a starting place to determine where your facility or region are in the planning process for a pediatric surge event.

Today, CMS is announcing an update to that regulatory flexibility, clarifying that participating ASCs need only provide 24-hour nursing services when there is actually one or more patient receiving care onsite. The program change provides ASCs enrolled as hospitals the ability to flex up their staffing when needed and provide an important relief valve in communities experiencing hospital capacity constraints, while not mandating nurses be present when no patients are in the ASC. The flexibility is available to any of the 5732 ASCs throughout the country seeking to participate and will be immediately effective for the 85 ASCs currently participating in the Hospital Without Walls initiative. CMS expects this flexibility will allow these and additional ASCs enrolled as hospitals to serve as an added access point that will allow communities to maintain surgical capacity and other life-saving non-COVID-19, like cancer surgeries. Allowing these types of treatments to occur in designated ASCs enrolled as hospitals while hospitals are managing any surges of COVID-19 would allow vulnerable patients to receive this needed care in settings without known COVID-19 cases.

Measurements: Each hospital-month was stratified by percentile rank on a surge index (a severity-weighted measure of COVID-19 caseload relative to pre-COVID-19 bed capacity). The effect of surge index on risk-adjusted odds ratio (aOR) of in-hospital mortality or discharge to hospice was calculated using hierarchical modeling; interaction by surge attributes was assessed.

Results: Of 144 116 inpatients with COVID-19 at 558 U.S. hospitals, 78 144 (54.2%) were admitted to hospitals in the top surge index decile. Overall, 25 344 (17.6%) died; crude COVID-19 mortality decreased over time across all surge index strata. However, compared with nonsurging (

Conclusion: Despite improvements in COVID-19 survival between March and August 2020, surges in hospital COVID-19 caseload remained detrimental to survival and potentially eroded benefits gained from emerging treatments. Bolstering preventive measures and supporting surging hospitals will save many lives.

The graph combines several sources of data to produce a totalwater level prediction. To do so, it graphs the observed water levels incomparison to the predicted tide and predicted surge before the current time.This allows it to compute the "Anomaly". The "Anomaly" is the amount ofwater that was not predicted by either the tide or the storm surge model. This"Anomaly" is averaged over 5 days, and is then added to the futurepredictions of the tide and storm surge to predict the Total Water Level.

The first thing one notices is that there are two magenta vertical lines.The earlier one is when the storm surge model was run. It is run at 0Z, 6Z, 12Z and18Z every day and the text form is available here: (look for the .txt files).The later magenta line is when the graph was generated. It is currently generated 15 minutesafter the top of every hour. (This is also the date that follows the label.)

The next thing one notices are the horizontal lines labeled MLLW, MSL,MHHW, and HAT. These stand for the Mean Lower Low Water, Mean Sea Level,Mean Higher High Water, and Highest Astronomical Tide. The datums came from -ops.nos.noaa.gov/stations.html?type=Datums. The exception is if NOSdid not provide HAT, we computed it by computing the maximum predicted tide valueevery hour (on the hour) for 19 years. The thought is that flooding will probablyoccur if the total water level crosses HAT.

One might next notice the red observation line. This is based on dataattained from NOS' data API. An example for station 8571421 follows: -ops.nos.noaa.gov/api/datagetter? product=water_level& application=NOS.COOPS.TAC.WL& begin_date=20180311& end_date=20180312& datum=MLLW& station=8571421& time_zone=GMT& units=english& format=csv.Please see theirDisclaimer for information as to the quality of these observations. Ifthere is no red line, then either Tides Online does not have data for thatstation, or there has been a communications break down. In this case, thegraph computes an anomaly based on what data it has, or sets it to 0. Thenit predicts the total water level for all hours, or after the last ofany observations it does have.

The next thing of interest is the blue Tide line. This is theastronomical tide at every hour. The Harmonic Constants used were obtainedfrom -ops.nos.noaa.gov/data_res.html.

We then note the gold storm surge curve, which is created by "pasting" one48 hour prediction to the next 48 hour prediction. That is, using 12 hoursfrom each prediction until the last prediction where we use 48 hours. Theresult is that we may generate kinks in the curve every 12 hours, where themodel adjusted its prediction based on new data from the GFS wind model.

Next we note the green curve, which is the "Anomaly" referred to above.This is simply the observation - (tide + storm surge). Preferably it isconstant. The amount of deviation from a constant is an approximation of ourerror. Since we add the 5 day average of this value to our prediction, theperfect forecast does not have to have a zero Anomaly.

Finally we see the black forecast curve. This is what we are reallyinterested in, which is the total water level created by adding the 5 dayaverage anomaly to the predicted tide, and the predicted storm surge.

Status Maps: Top of Page

These maps are provided to give the user a quick overview of a region.We plot a green dot if in the particular time span (usually next48 hours) the total water level stays below Mean Higher High Water. Thiswill only happen for half the month as Mean Higher High water is an average,so half the time it should be above this.We plot a yellow dot if the total water level stays below HighestAstronomical Tide (HAT). Assuming there are no storms, then it should be inthis region for the other half of the month. However the Anomaly may belarge enough at a particular station to force it into our next grouping.We plot a red dot if the total water level crosses HAT somewhere inthe time span. These stations are where we are predicting potentialflooding. To see how far above HAT it is, click on the station, andthen in the comment section of the text file there is a number for feet aboveHAT.History Button: Top of Page

The history button allows one to see how the model has done over the last dayor so. It displays 3 graphs. The first one is the current graph based onthe current model run, and the current observations. The second graph is thelast graph generated using the last model run. The third graph is the lastgraph generated using the next to last model run. This gives a view of themodel over the last 24 to 36 hours depending on when the current time is.To print this page out (Netscape instructions) it is recommended that youright click on the history frame and choose "Open Frame in New Window". Thenchoose page setup, and set the top and bottom margins to 0. Then choose print,and preferably send it to a color printer, (although a black and white doeswork). The result should be 3 graphs on the same page.Credits: Top of Page

We would like to thank the following people/organizations: Web page development: Arthur Taylor, Anne Kramer, Wilson Shaffer, Mark Stram Graph Program: Arthur Taylor, Anne Kramer Extratropical Storm Surge Model Development: Jye Chen, Chester Jelesnianski, Sung Kim GFS Model. Observations: National Ocean Service (Tides Online) Tide Model. Art Pore, Kurt Hess, A. Gilad National Ocean Service (for tidal constituents) 006ab0faaa