The Northwest California Lightning Event of June 20-21, 2008
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Laguardia Community College Academic Calendar 2020-2021
LAGUARDIA COMMUNITY COLLEGE ACADEMIC CALENDAR 2020-2021 2020 FALL SEMESTER – SESSION I 2021 SPRING SEMESTER – SESSION I Tuesday September 8 New Student Orientation Monday March 1 New Student Orientation Wednesday September 9 New Student Orientation Tuesday March 2 Last day to apply for Readmission or Reinstatement Thursday September 10 Opening Session for Faculty & Staff from Suspension for Spring 2021 Session I / New Friday September 11 Last day to drop for 100% tuition refund / Last day to Student Orientation apply for Readmission or Reinstatement from Thursday March 4 Opening Session for Faculty & Staff Suspension for Fall 2020 Session I Friday March 5 Last day to drop for 100% tuition refund Saturday September 12 First day of Saturday classes – Fall Session I Saturday March 6 First day of Saturday classes – Spring Session I Sunday September 13 First day of Sunday classes - Fall Session I Sunday March 7 First day of Sunday classes – Spring Session I Monday September 14 First day of Weekday classes - Fall Session I Monday March 8 First day of Weekday classes - Spring Session I Thursday September 17 Last day to drop for 75% tuition refund Thursday March 11 Last day to drop for 75% tuition refund Friday September 18 No classes scheduled / Last day to add a course or Friday March 12 Last day to add a course or change course sections / change course sections / Financial Aid Certification / Financial Aid Certification / Last day to submit Last day to submit Independent Study contract Independent Study contract Saturday September 19 No classes -
Potential Vorticity
POTENTIAL VORTICITY Roger K. Smith March 3, 2003 Contents 1 Potential Vorticity Thinking - How might it help the fore- caster? 2 1.1Introduction............................ 2 1.2WhatisPV-thinking?...................... 4 1.3Examplesof‘PV-thinking’.................... 7 1.3.1 A thought-experiment for understanding tropical cy- clonemotion........................ 7 1.3.2 Kelvin-Helmholtz shear instability . ......... 9 1.3.3 Rossby wave propagation in a β-planechannel..... 12 1.4ThestructureofEPVintheatmosphere............ 13 1.4.1 Isentropicpotentialvorticitymaps........... 14 1.4.2 The vertical structure of upper-air PV anomalies . 18 2 A Potential Vorticity view of cyclogenesis 21 2.1PreliminaryIdeas......................... 21 2.2SurfacelayersofPV....................... 21 2.3Potentialvorticitygradientwaves................ 23 2.4 Baroclinic Instability . .................... 28 2.5 Applications to understanding cyclogenesis . ......... 30 3 Invertibility, iso-PV charts, diabatic and frictional effects. 33 3.1 Invertibility of EPV ........................ 33 3.2Iso-PVcharts........................... 33 3.3Diabaticandfrictionaleffects.................. 34 3.4Theeffectsofdiabaticheatingoncyclogenesis......... 36 3.5Thedemiseofcutofflowsandblockinganticyclones...... 36 3.6AdvantageofPVanalysisofcutofflows............. 37 3.7ThePVstructureoftropicalcyclones.............. 37 1 Chapter 1 Potential Vorticity Thinking - How might it help the forecaster? 1.1 Introduction A review paper on the applications of Potential Vorticity (PV-) concepts by Brian -
Statistical Single-Station Short-Term Forecasting of Temperature and Probability of Precipitation: Area Interpolation and NWP Combination
APRIL 1999 RAIBLE ET AL. 203 Statistical Single-Station Short-Term Forecasting of Temperature and Probability of Precipitation: Area Interpolation and NWP Combination CHRISTOPH C. RAIBLE,GEORG BISCHOF,KLAUS FRAEDRICH, AND EDILBERT KIRK Meteorologisches Institut, UniversitaÈt Hamburg, Hamburg, Germany (Manuscript received 18 February 1998, in ®nal form 21 October 1998) ABSTRACT Two statistical single-station short-term forecast schemes are introduced and applied to real-time weather prediction. A multiple regression model (R model) predicting the temperature anomaly and a multiple regression Markov model (M model) forecasting the probability of precipitation are shown. The following forecast ex- periments conducted for central European weather stations are analyzed: (a) The single-station performance of the statistical models, (b) a linear error minimizing combination of independent forecasts of numerical weather prediction and statistical models, and (c) the forecast representation for a region deduced by applying a suitable interpolation technique. This leads to an operational weather forecasting system for the temperature anomaly and the probability of precipitation; the statistical techniques demonstrated provide a potential for future ap- plications in operational weather forecasts. 1. Introduction (Wilson 1985; Dallavalle 1996; KnuÈpffer 1996) as well Although, in general, numerical weather prediction as the long-term prediction (more than a month ahead) (NWP) models are hard to beat in very short-term fore- of monthly mean temperature (Nicholls 1980; Navato casting (up to 24 h), they do require a substantial amount 1981; Madden 1981; Norton 1985). Thus, the ®rst pur- of computation time and the model forecasts are not pose of this paper is to set up a statistical model of always stable at this timescale. -
ISSUES : DATA SET Investigating the Footprint of Climate Change On
- 1 - TIEE Teaching Issues and Experiments in Ecology - Volume 10, April 2014 ISSUES : DATA SET Investigating the footprint of climate change on phenology and ecological interactions in north-central North America Kellen M. Calinger Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210-1293; [email protected] THE ECOLOGICAL QUESTION: Have long-term temperatures changed throughout Ohio? How will these temperature changes impact plant and animal phenology, ecological interactions, and, as a result, species diversity? ECOLOGICAL CONTENT: Climate change, phenology, pollinators, trophic mismatch, species diversity, arrival time, mutualism WHAT STUDENTS DO: o Produce and analyze graphs of temperature change using large, long-term data sets (Synthesis, Analysis) o Develop methods for calculating species-specific shifts in flowering time with temperature increase (Synthesis) o Use these methods to calculate flowering shifts in six plant Aquilegia canadensis (red columbine) species (Application) flowering with open and closed flowers o Describe the ecological consequences of shifting plant and animal phenology (Comprehension) o Understand how interactions between species as well as with their abiotic environment affect community structure and species diversity (Knowledge, Comprehension) o Evaluate data “cherry-picking” as a climate change skeptic tactic (Evaluation) STUDENT-ACTIVE APPROACHES: Open-ended inquiry, guided inquiry, cooperative learning, critical thinking SKILLS: Work with large data sets, create and analyze multiple types of graphs, connect the development of procedures and data analysis to clarifying ecological impacts of climate change ASSESSABLE OUTCOMES: Student-made graphs, calculations of temperature and phenology shifts, answers to short questions, brief paragraphs describing student-generated methods TIEE, Volume 10 © 2014 – Kellen M. -
2021 7 Day Working Days Calendar
2021 7 Day Working Days Calendar The Working Day Calendar is used to compute the estimated completion date of a contract. To use the calendar, find the start date of the contract, add the working days to the number of the calendar date (a number from 1 to 1000), and subtract 1, find that calculated number in the calendar and that will be the completion date of the contract Date Number of the Calendar Date Friday, January 1, 2021 133 Saturday, January 2, 2021 134 Sunday, January 3, 2021 135 Monday, January 4, 2021 136 Tuesday, January 5, 2021 137 Wednesday, January 6, 2021 138 Thursday, January 7, 2021 139 Friday, January 8, 2021 140 Saturday, January 9, 2021 141 Sunday, January 10, 2021 142 Monday, January 11, 2021 143 Tuesday, January 12, 2021 144 Wednesday, January 13, 2021 145 Thursday, January 14, 2021 146 Friday, January 15, 2021 147 Saturday, January 16, 2021 148 Sunday, January 17, 2021 149 Monday, January 18, 2021 150 Tuesday, January 19, 2021 151 Wednesday, January 20, 2021 152 Thursday, January 21, 2021 153 Friday, January 22, 2021 154 Saturday, January 23, 2021 155 Sunday, January 24, 2021 156 Monday, January 25, 2021 157 Tuesday, January 26, 2021 158 Wednesday, January 27, 2021 159 Thursday, January 28, 2021 160 Friday, January 29, 2021 161 Saturday, January 30, 2021 162 Sunday, January 31, 2021 163 Monday, February 1, 2021 164 Tuesday, February 2, 2021 165 Wednesday, February 3, 2021 166 Thursday, February 4, 2021 167 Date Number of the Calendar Date Friday, February 5, 2021 168 Saturday, February 6, 2021 169 Sunday, February -
FISCAL YEAR 2021 NET MONTH ENDING DISTRIBUTED RATE July
LOCAL GOVERNMENT INVESTMENT POOL HISTORICAL DISTRIBUTED INTEREST RATE FISCAL YEAR 2021 NET MONTH ENDING DISTRIBUTED RATE July 20 0.7433147 August 20 0.6300288 September 20 0.5610540 October 20 0.4106052 November 20 0.3685104 December 20 0.3069768 January 21 February 21 March 21 April 21 May 21 June 21 FISCAL YEAR 2019 NET FISCAL YEAR 2020 NET MONTH ENDING DISTRIBUTED RATE MONTH ENDING DISTRIBUTED RATE July 18 1.9901991 July 19 2.3974434 August 18 2.0210545 August 19 2.4738735 September 18 2.0937608 September 19 2.2970634 October 18 2.1972258 October 19 1.9986782 November 18 2.2590551 November 19 1.9556098 December 18 2.3552189 December 19 1.8937179 January 19 2.4482615 January 20 1.9683736 February 19 2.5446174 February 20 1.7397910 March 19 2.5177344 March 20 1.6567161 April 19 2.5379901 April 20 1.4176876 May 19 2.4827890 May 20 0.9517614 June 19 2.4725547 June 20 0.9223025 FISCAL YEAR 2017 NET FISCAL YEAR 2018 NET MONTH ENDING DISTRIBUTED RATE MONTH ENDING DISTRIBUTED RATE July 16 0.6009023 July 17 1.0686007 August 16 0.5999359 August 17 1.0848660 September 16 0.6060577 September 17 1.1106783 October 16 0.6330251 October 17 1.1539913 November 16 0.6452236 November 17 1.1893335 December 16 0.6850134 December 17 1.2327497 January 17 0.7690972 January 18 1.3754306 February 17 0.8095764 February 18 1.4976310 March 17 0.8556157 March 18 1.5537682 April 17 0.9544760 April 18 1.7345806 May 17 0.9556690 May 18 1.8301165 June 17 1.0426338 June 18 1.9479517 FISCAL YEAR 2015 NET FISCAL YEAR 2016 NET MONTH ENDING DISTRIBUTED RATE MONTH ENDING -
Flex Dates.Xlsx
1st Day 1st Day of Your Desired Stay you may Call January 2, 2022 ↔ November 3, 2021 January 3, 2022 ↔ November 4, 2021 January 4, 2022 ↔ November 5, 2021 January 5, 2022 ↔ November 6, 2021 January 6, 2022 ↔ November 7, 2021 January 7, 2022 ↔ November 8, 2021 January 8, 2022 ↔ November 9, 2021 January 9, 2022 ↔ November 10, 2021 January 10, 2022 ↔ November 11, 2021 January 11, 2022 ↔ November 12, 2021 January 12, 2022 ↔ November 13, 2021 January 13, 2022 ↔ November 14, 2021 January 14, 2022 ↔ November 15, 2021 January 15, 2022 ↔ November 16, 2021 January 16, 2022 ↔ November 17, 2021 January 17, 2022 ↔ November 18, 2021 January 18, 2022 ↔ November 19, 2021 January 19, 2022 ↔ November 20, 2021 January 20, 2022 ↔ November 21, 2021 January 21, 2022 ↔ November 22, 2021 January 22, 2022 ↔ November 23, 2021 January 23, 2022 ↔ November 24, 2021 January 24, 2022 ↔ November 25, 2021 January 25, 2022 ↔ November 26, 2021 January 26, 2022 ↔ November 27, 2021 January 27, 2022 ↔ November 28, 2021 January 28, 2022 ↔ November 29, 2021 January 29, 2022 ↔ November 30, 2021 January 30, 2022 ↔ December 1, 2021 January 31, 2022 ↔ December 2, 2021 February 1, 2022 ↔ December 3, 2021 1st Day 1st Day of Your Desired Stay you may Call February 2, 2022 ↔ December 4, 2021 February 3, 2022 ↔ December 5, 2021 February 4, 2022 ↔ December 6, 2021 February 5, 2022 ↔ December 7, 2021 February 6, 2022 ↔ December 8, 2021 February 7, 2022 ↔ December 9, 2021 February 8, 2022 ↔ December 10, 2021 February 9, 2022 ↔ December 11, 2021 February 10, 2022 ↔ December 12, 2021 February -
Federal Register/Vol. 84, No. 119/Thursday, June 20, 2019/Rules and Regulations
28888 Federal Register / Vol. 84, No. 119 / Thursday, June 20, 2019 / Rules and Regulations DEPARTMENT OF THE TREASURY insurance coverage for which premiums SUPPLEMENTARY INFORMATION: are reimbursed by an individual I. Background Internal Revenue Service coverage HRA or a qualified small employer health reimbursement A. Executive Order 26 CFR Parts 1 and 54 arrangement (QSEHRA) does not On October 12, 2017, President [TD 9867] become part of an ERISA plan, provided Trump issued Executive Order 13813,1 certain safe harbor conditions are ‘‘Promoting Healthcare Choice and RIN 1545–BO46 satisfied. Finally, the Department of Competition Across the United States,’’ Health and Human Services (HHS) is DEPARTMENT OF LABOR stating, in part, that the ‘‘Administration finalizing provisions to provide a will prioritize three areas for special enrollment period (SEP) in the improvement in the near term: Employee Benefits Security individual market for individuals who Administration association health plans (AHPs), short- newly gain access to an individual term, limited-duration insurance coverage HRA or who are newly 29 CFR Parts 2510 and 2590 (STLDI), and health reimbursement provided a QSEHRA. The goal of the arrangements (HRAs).’’ With regard to RIN 1210–AB87 final rules is to expand the flexibility HRAs, the Executive Order directs the and use of HRAs and other account- Secretaries of the Treasury, Labor, and DEPARTMENT OF HEALTH AND based group health plans to provide HHS to ‘‘consider proposing regulations HUMAN SERVICES more Americans with additional -
A Review of Ocean/Sea Subsurface Water Temperature Studies from Remote Sensing and Non-Remote Sensing Methods
water Review A Review of Ocean/Sea Subsurface Water Temperature Studies from Remote Sensing and Non-Remote Sensing Methods Elahe Akbari 1,2, Seyed Kazem Alavipanah 1,*, Mehrdad Jeihouni 1, Mohammad Hajeb 1,3, Dagmar Haase 4,5 and Sadroddin Alavipanah 4 1 Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 1417853933, Iran; [email protected] (E.A.); [email protected] (M.J.); [email protected] (M.H.) 2 Department of Climatology and Geomorphology, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617976487, Iran 3 Department of Remote Sensing and GIS, Shahid Beheshti University, Tehran 1983963113, Iran 4 Department of Geography, Humboldt University of Berlin, Unter den Linden 6, 10099 Berlin, Germany; [email protected] (D.H.); [email protected] (S.A.) 5 Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research UFZ, 04318 Leipzig, Germany * Correspondence: [email protected]; Tel.: +98-21-6111-3536 Received: 3 October 2017; Accepted: 16 November 2017; Published: 14 December 2017 Abstract: Oceans/Seas are important components of Earth that are affected by global warming and climate change. Recent studies have indicated that the deeper oceans are responsible for climate variability by changing the Earth’s ecosystem; therefore, assessing them has become more important. Remote sensing can provide sea surface data at high spatial/temporal resolution and with large spatial coverage, which allows for remarkable discoveries in the ocean sciences. The deep layers of the ocean/sea, however, cannot be directly detected by satellite remote sensors. -
Appendix a Gempak Parameters
GEMPAK Parameters APPENDIX A GEMPAK PARAMETERS This appendix contains a list of the GEMPAK parameters. Algorithms used in computing these parameters are also included. The following constants are used in the computations: KAPPA = Poisson's constant = 2 / 7 G = Gravitational constant = 9.80616 m/sec/sec GAMUSD = Standard atmospheric lapse rate = 6.5 K/km RDGAS = Gas constant for dry air = 287.04 J/K/kg PI = Circumference / diameter = 3.14159265 References for some of the algorithms: Bolton, D., 1980: The computation of equivalent potential temperature., Monthly Weather Review, 108, pp 1046-1053. Miller, R.C., 1972: Notes on Severe Storm Forecasting Procedures of the Air Force Global Weather Central, AWS Tech. Report 200. Wallace, J.M., P.V. Hobbs, 1977: Atmospheric Science, Academic Press, 467 pp. TEMPERATURE PARAMETERS TMPC - Temperature in Celsius TMPF - Temperature in Fahrenheit TMPK - Temperature in Kelvin STHA - Surface potential temperature in Kelvin STHK - Surface potential temperature in Kelvin N-AWIPS 5.6.L User’s Guide A-1 October 2003 GEMPAK Parameters STHC - Surface potential temperature in Celsius STHE - Surface equivalent potential temperature in Kelvin STHS - Surface saturation equivalent pot. temperature in Kelvin THTA - Potential temperature in Kelvin THTK - Potential temperature in Kelvin THTC - Potential temperature in Celsius THTE - Equivalent potential temperature in Kelvin THTS - Saturation equivalent pot. temperature in Kelvin TVRK - Virtual temperature in Kelvin TVRC - Virtual temperature in Celsius TVRF - Virtual -
Genesis of Diamond Dust and Thick Cloud Episodes Observed Above Dome C, Antarctica by Ricaud Et Al
Manuscript Title: Genesis of Diamond Dust and Thick Cloud Episodes observed above Dome C, Antarctica by Ricaud et al. RESPONSES TO THE REVIEWERS We would like to thank the reviewers for their insightful comments that were helpful in improving substantially the presentation and contents of the revised manuscript. We have addressed appropriately all issues raised by the reviewers. The reviewers' comments are repeated below in blue and our responses appear in black. The title has been modified into: Genesis of Diamond Dust, Ice Fog and Thick Cloud Episodes observed and modelled above Dome C, Antarctica We have inserted this sentence in the acknowledgments: We finally would like to thank the two anonymous reviewers to their fruitful comments. Changes have been highlighted in yellow in the revised manuscript. 1 Anonymous Referee #1 This manuscript intends to study of cold weather conditions (over Antarctica). It focuses on clouds and diamond dust, and various observational platforms and model simulations over more than 1 month of observations. There are several issues with this manuscript and need to be improved significantly before goes to publication. Because of above I see that paper needs to be improved significantly before making a decision if it is appropriate for this ACP. ® Specific changes have been made in response to the reviewers' comments and are described below. Major/minor issues: 1. Objectives are not clearly set up. Lots of information but nothing to do with objectives. ® We have clarified this crucial point. The objectives of the paper are mainly to investigate the processes that cause the presence of thick cloud and diamond dust/ice fog episodes above the Dome C station based on observations and verify whether operational models can evaluate them. -
Flex Dates.Xlsx
1st Day 1st Day of Your Desired Stay you may Call January 3, 2021 ↔ November 4, 2020 January 4, 2021 ↔ November 5, 2020 January 5, 2021 ↔ November 6, 2020 January 6, 2021 ↔ November 7, 2020 January 7, 2021 ↔ November 8, 2020 January 8, 2021 ↔ November 9, 2020 January 9, 2021 ↔ November 10, 2020 January 10, 2021 ↔ November 11, 2020 January 11, 2021 ↔ November 12, 2020 January 12, 2021 ↔ November 13, 2020 January 13, 2021 ↔ November 14, 2020 January 14, 2021 ↔ November 15, 2020 January 15, 2021 ↔ November 16, 2020 January 16, 2021 ↔ November 17, 2020 January 17, 2021 ↔ November 18, 2020 January 18, 2021 ↔ November 19, 2020 January 19, 2021 ↔ November 20, 2020 January 20, 2021 ↔ November 21, 2020 January 21, 2021 ↔ November 22, 2020 January 22, 2021 ↔ November 23, 2020 January 23, 2021 ↔ November 24, 2020 January 24, 2021 ↔ November 25, 2020 January 25, 2021 ↔ November 26, 2020 January 26, 2021 ↔ November 27, 2020 January 27, 2021 ↔ November 28, 2020 January 28, 2021 ↔ November 29, 2020 January 29, 2021 ↔ November 30, 2020 January 30, 2021 ↔ December 1, 2020 January 31, 2021 ↔ December 2, 2020 February 1, 2021 ↔ December 3, 2020 February 2, 2021 ↔ December 4, 2020 1st Day 1st Day of Your Desired Stay you may Call February 3, 2021 ↔ December 5, 2020 February 4, 2021 ↔ December 6, 2020 February 5, 2021 ↔ December 7, 2020 February 6, 2021 ↔ December 8, 2020 February 7, 2021 ↔ December 9, 2020 February 8, 2021 ↔ December 10, 2020 February 9, 2021 ↔ December 11, 2020 February 10, 2021 ↔ December 12, 2020 February 11, 2021 ↔ December 13, 2020