Case study 1: Central England temperature Hadley Centre Central England Temperature (HadCET) dataset The CET dataset is the longest instrumental record.

Slides:

Advertisements

Similar presentations

Environmental change and statistical trends – some examples Marian Scott Dept of Statistics, University of Glasgow NERC August 2012.

Advertisements

Environmental change and statistical trends – some examples

Environmental change and statistical trends – some examples Marian Scott Dept of Statistics, University of Glasgow NERC September 2011.

Daily Ocean Temperature Soo Yeoun Noh. This chart shows the average temperature from the year 2001 to 2009.

Freak weather, or not? I cant believe this freak weather! Weve had so much snow, and spring is really late this year… I dont know, I can remember having.

Comparing statistical downscaling methods: From simple to complex

Literature Review Kathryn Westerman Oliver Smith Enrique Hernandez Megan Fowler.

DMI long-term instrumental data series from Greenland FreshNor Workshop SHMI October 2007 John Cappelen.

Dmitry D. Kaplunenko*,**, Vladimir I. Ponomarev *, Young J. Ro **, Olga O. Trusenkova* and Serge T. Trusenkov* * – V.I. Il’ichev Pacific Oceanological.

1 CLUSTER ANALYSIS OF EUROPEAN DAILY TEMPERATURE SERIES: AN EXTREME VALUE APPROACH Andrés M. Alonso Departamento de Estadística Universidad Carlos II de.

Arctic Discharge Observations The Arctic RIMS and the R-Arctic Net datasets Åsa Rennermalm Princeton University.

Interface & Instrumentation. ADC Sensor Interfacing Gas Sensor Temperature Sensor Humidity Sensor Sonar Sensor.

Long Term Temperature Variability of Santa Barbara Coutny By Courtney Keeney and Leila M.V. Carvalho.

 Often times meteorologists and climatologists to make some calculations in order to better understand trends in the weather. Here are three calculations.

REFERENCES Begert M., Schlegel T., Kirchhofer W., Homogeneous temperature and precipitation series of Switzerland from 1864 to Int. J. Climatol.,

Extra Discussion about Arctic 9/15/ Sources:

Overview Aims Data Methods Results CRU Symposium on Weather Extremes, 2 April, 2003 Observations of Extreme Temperature Events.

Benchmark database inhomogeneous data, surrogate data and synthetic data Victor Venema.

NOAA’s National Climatic Data Center 1 NOAA’s National Climatic Data Center – Resources Regarding Climate and Weather Extremes J. Neal Lott, Richard R.

MARYLAND’S CLIMATE: VARIABILITY AND CHANGE Dr. Konstantin Vinnikov, Acting State Climatologist for Maryland University of Maryland at College Park, MD.

f has a saddle point at (1,1) 2.f has a local minimum at.

The Canadian Climate Impacts Scenarios (CCIS) Project is funded by the Climate Change Action Fund and provides climate change scenarios and related information.

European regional climate change: A human signal?.

Level 1 Statistics AS 1.5 (90---) Use Statistical Methods and Information.

Overview of ETCCDI & Production of NCMPs. ETCCDI CCL/CLIVAR/JCOMM-Expert Team (ET) on Climate Change Detection and Indices (ETCCDI) + its predecessor.

Scientific benefits from undertaking data rescue activities: some examples of what can be achieved with long records Phil Jones Climatic Research Unit.

Nynke Hofstra and Mark New Oxford University Centre for the Environment Trends in extremes in the ENSEMBLES daily gridded observational datasets for Europe.

© UK Sport Gold Event Series. Coming next in the UK Sport Gold Event Series AJ Bell Men’s World Open Squash Championships October - 3 November.

Figure 1. Primary explanatory variables (basis functions) considered in the multiple regression statistical model. See the text for data sources.  Log.

Climate data sets: introduction two perspectives: A. What varieties of data are available? B. What data helps you to identify...

Central Java have 39 Agriculture and 6 BMKG’s Stations, but from all of them we only 4 stations that have good data series. They are Borobudur Agriculture.

Summary of observed changes in precipitation and temperature extremes (D9)

Quality control of daily data on example of Central European series of air temperature, relative humidity and precipitation P. Štěpánek (1), P. Zahradníček.

Discussion Peter Guttorp Norwegian Computing Center University of Washington.

Martine Rebetez Summer 2003 maximum and minimum daily temperatures over a 3300 m altitudinal range Martine Rebetez.

Brutally Cold February Jamie Student CSC010 February 27, 2015.

EXAMPLE 3 Find the mean TEMPERATURE

Instrumental Surface Temperature Record Current Weather Data Sources Land vs. Ocean Patterns Instrument Siting Concerns Return Exam II For Next Class:

Investigations of long and short term changes in Total Ozone at the Sonnblick Observatory (3106 m, Austria) S. Simic, P. Weihs and G. Rengarajan and W.

Northwest European High Summer Climate Variability, the West African Monsoon and the Summer North Atlantic Oscillation Jim Hurrell, NCAR, & Chris Folland,

5.2 Polynomials, Linear Factors, and Zeros P

Bob Livezey NWS Climate Services Seminar February 13, 2013.

Experience regarding detecting inhomogeneities in temperature time series using MASH Lita Lizuma, Valentina Protopopova and Agrita Briede 6TH Homogenization.

Homogenization of Chinese daily surface air temperatures:An update for CHHT1.0 Li Qingxiang, Xu Wenhui, Xiaolan Wang, and coauthors (National Meteorological.

#1: WHAT IS THE MEDIAN OF THE FOLLOWING NUMBERS? 3,5,7,9,12,33,45,67,99 #2: DEFINE THE FOLLOWING (USE YOUR NOTES IF YOU HAVE TO) MEAN: MEDIAN: MODE: Bell.

Pan Evaporation Rates of Southeastern Arizona Alison Radei Mentors: Dr. Mary Nichols and Michelle Cavanaugh USDA-ARS-Southwest Watershed Research Center.

1 Detection of discontinuities using an approach based on regression models and application to benchmark temperature by Lucie Vincent Climate Research.

Section 9.5 – Linear Programming. (-3, 21) (0, -3) (-3, -3)

 Average – mean, median and mode are three “kinds” of average (commonly used to describe the mean).  Mean temperature – average temperature of the air.

Finding climate signals in extremes Peter Guttorp

Performance of Automatic Weather Stations in Kenya K. I. Essendi Kenya Meteorological Department Kenya.

Daily Records Daily High Temperature Daily Low Temperature Daily Average Temperature Daily Precipitation Daily Snowfall Morning Snow Depth Maximum 71 (1889)56.

Homogenization of daily data series for extreme climate index calculation Lakatos, M., Szentimey T. Bihari, Z., Szalai, S. Meeting of COST-ES0601 (HOME)

Data Preliminaries CSC 600: Data Mining Class 1.

Inter-calibration using DCCs and seasonality

Instrumental Surface Temperature Record

Climate Graphs What do they tell us?.

Where is this station/location?

Climate Graphs What do they tell us?.

تأثير درجة الحرارة على الكائنات الحية الدقيقة

Instrumental Surface Temperature Record

Section 11.8 Linear Programming

Brutally Cold February

X y y = x2 - 3x Solutions of y = x2 - 3x y x –1 5 –2 –3 6 y = x2-3x.

Brutally Cold February

Data Preliminaries CSC 576: Data Mining.

Section – Linear Programming

Climate Trends in Samoa

Lab Improvements/Changes

Presentation transcript:

Case study 1: Central England temperature Hadley Centre Central England Temperature (HadCET) dataset The CET dataset is the longest instrumental record of temperature in the world. The mean, minimum and maximum datasets are updated monthly. The mean daily data series begins in 1772 and the mean monthly data in Mean maximum and minimum daily and monthly data are also available, beginning in 1878.

Case study 1: Central England temperature

R script in CETcasestudy explore the trend (linear or otherwise) is the trend the same in the different months does the starting point matter in our conclusions?

Case study 2: haddocks See handout R script in haddock explore the trend (linear or otherwise) Think about projections