Assessed Quality Of Three Different NRT RapidScat Products .
Evaluation and Validation of NRT RapidScat Ocean Surface Vector WindsFaozi Said1,2, Seubson Soisuvarn2 (Golf), Paul S. Chang2, Zorana Jelenak2, Joseph Sienkiewicz3, and Michael Brennan41GlobalScience & Technology- 2NOAA/NESDIS/STAR- 3NOAA/NWS/NCEP/Ocean Prediction Center- 4NOAA/NWS/National Hurricane Center Assessed quality of three different NRT RapidScat products using NWPmodels and RSS radiometer data Explored usability of rain flagged data for support of operational forecastingand warning functions Ensured stability of NRT RapidScat winds through daily time series analysisExploring Usability ofRapidScat Rain Flagged DataRain rates [mRmm/h]Wind Retrieval PerformanceColor:ClBIAS u10GDAS u10 [m/s]Time series analysis
SFMR Reprocessing Project – Ocean WindsObservationsSuleiman Alsweiss1, Joe Sapp1, Zorana Jelenak2, Paul S. Chang3, and James R. Carswell41Global Science & Technology, 2UCAR, 3NOAA/NESDIS/STAR, 4Remote Sensing SolutionsNOAA Ocean Winds field experimentsprogram has three main objectives:– Calibration and validation of satellite-basedsensors and advanced data products– Developmentpand improvementpof spacepbased ocean surface vector wind (OSVW)products– Testing of new remote sensing technologiesfor future satellite missions (risk reduction& feasibilityf ibili studies)di ) The goal is to have a consistent data setof SFMR and in situ measurements– More than 10 years of SFMRSFMR, sondes andbuoys SFMR retrievals were reprocessedusing a new rain absorption coefficient– Derived using IWRAP Ku-band reflectivity
X-factor and the Spatial ResponseFunctions of QuikSCAT and RapidScatSliceSRF Calculation of X-factor iscomputationally intensive Pre-computed and stored astable which is interpolated New tables needed forRapidSCAT– Use with QuikSCAT processingcode– Variable ISS orbitBYU D. Long, N. Madsen, and J. NiedfeldtH-polX-factor table
Evaluation and Validation of Simulated CYGNSS Winds over Large Range ofTropical Cyclones and Preliminary Analysis of TechDemoSat-1GNSS Reflectometry Wind ProductSeubson Soisuvarn, Faozi Said, Zorana Jelenak and Paul ChangNOAA / NESDIS / STARCYGNSS Cal/Val Simulation from HWRF 2010-2011 ALEP Hurricane Seasons (43 storm) Wind Speed Validation with model,satellite and aircraft data Quality ControlTechDemoSat-1 SGR ReSI First Look L2 Wind Speed Bias L1B Wind and Wave DependenceTDS Wind Speed BiasCYGNSS Wind Speed PerformanceWind and Wave DependenceHWINDStorm Over pass StatisticsSFMROSCATASCAT
The Simulation And Performance Analysis Of The CFOSATRFSCATRisheng Yun (National Space Science Center, ChineseAcademy of Sciences) XingouXu, Xiaolong Dong, Di ZhuEEvaluationl ti off OOcean VectorV t WindWi d DataD t fromfISS/R idS tISS/RapidScatNaoto Ebuchi (Hokkaido University)A Method for Quality Assessment of Scatterometer‐retrieved wind fieldsfZengzhou Hao (The Second Institute of Oceanography,SOA) Delu Pan, Fang Gong and Tianyu Wang
Time series analysis m m/h] Cl R ain rates [Color: . BYU D. Long, N. Madsen, and J. Niedfeldt. Evaluation and Validation of Simulated CYGNSS Winds over Large Range of Tropical Cyclones and Preliminary Analysis of TechDemoSat- 1 GNSS Reflectometry Wind Product Seubson
Of these properties, 33,560 have a The total assessed value of the taxable assessed value of the taxable properties with a 537,764,810. There are 1,683 exempt properties totaling 115,569,800 in assessed value. Eighty-seven properties are listed as Provisionally Exempt (utility properties) with a total assessed value of 1,292,830.
Out of area - number of children who sat the Test. 1,755. 1,638: Number of children assessed as grammar via the Test. 2,156: 1,922. Number of children assessed as grammar via the Test - Medway . 854. 833: Number of children assessed as grammar via the Test - Out of area. 1302: 1,089. Minimum score required to be assessed as grammar. 488. 487
The Bubble Map is for describing using adjectives; Identifying the sensory, logical and emotional qualities of any topic or concept. Who Am I, My Story: My Qualities - Bubble Map name quality quality quality quality quality examples influences name quality quality quality quality quality 8 your name name 2
Quality Assurance and Quality Control Chapter 8 8.4 IPCC Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories 8 QUALITY ASSURANCE AND QUALITY CONTROL 8.1 INTRODUCTION An important goal of IPCC good practice guidance is to support the development of national greenhouse gas inventories that can be readily assessed in terms of quality and completeness.
Indiana Trial Court Fee Manual. These are only the fees/costs most commonly assessed in this case type. Other fees may be assessed. A complete list of all fees/costs can be found in Chapter 12 Alphabetical Guide to Fees/Costs Assessed by a Court or Clerk . 3 . 2 Filing Fees/Costs for Pre-Trial Diversion Cases for Certain Misdemeanors,
CLASS 2 PROPERTIES WITH 10 OR FEWER UNITS: There is another factor that affects the calculation of assessed value for class 2 buildings with 10 or fewer units. State law limits how much the assessed value of such buildings in New York City can rise each year. The assessed value cannot incre
Scheme name and number For the Responsible Authority: What new environmental issues are raised by the proposal that were not assessed during the assessment of the planning scheme? How does the proposal not comply with the assessed scheme and/or the environmental conditions in the assessed p
Not applied to farm land, buildings and coal rights. Equalized assessed value (EAV) - Assessed val-ue multiplied by any applicable equalization factor; can form tax base from which tax rate is calculated; for farm acreage, farm buildings, and coal rights the final assessed value is the equa
