Assignment 3 - Akshat Raj

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ASL320 - IIT Delhi - Akshat Raj - Assignment - Berkeley Earth - Krishna Achutarao - Climate Change - Impacts, Adaptation and Mitigation

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  • ASL320 - Assignment 3 AKSHAT RAJ 2011CH10065

    - From this site, retrieve the temperature anomalies averaged over the Globe and India (Annual Mean temperature)

    Global Temperature Anomaly

    Global mean temperature (C)

    - Using air temperature above sea ice: 14.771 +/- 0.047

    - Using water temperature below sea ice: 15.310 +/- 0.047

  • India Temperature Anomaly

    Estimated Jan 1951-Dec 1980 absolute temperature (C): 24.17 +/- 0.16

    - Plot the Global and India temperature anomalies ON THE SAME FIGURE

    It can be observed the average temperature over India is much greater than the global average.

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    Global Vs Indian Temp. Anomalies

    Global India

  • - Retrieve mean temperature "anomaly" data for two cities of your choice - one near the coast and one in the interior of a continent.

    Kansas City (Interior city in USA)

    Average Temperature for Kansas City - 12.12 +/- 0.41 C

    New York (Coastal City)

    Average Temperature for New York - 9.96 +/- 0.25 C

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    Kansas City - Temperature Anomaly from Average Temp.

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    New York - Temperature Anomaly from Average Temp.

  • - Plot the temperature anomalies for the 2 cities ON THE SAME FIGURE

    All in all we see very similar anomalies, in the temperature, although being a coastal region, New

    York is coder than Kansas City.

    - Look for the following "other" temperature datasets: CRUTEM4, GISTEMP and NOAA National Climatic Data Centre. Can you describe how these are different?

    Berkeley Earth uses data from a large number of weather stations, and then processes the

    data statistically, providing weights to the data from various stations, instead of

    homogenisation. Also, they employ Krigging Technique (Statistical Technique, to predict data

    for places from the limited sampling points they have) and avoid gridding as much as

    possible.

    CRUTEM is a dataset derived from air temperatures near to the land surface recorded at

    weather stations across all continents of Earth.

    NASA GISTEMP We see that the data shows the earth temperature lesser than Berkeley,

    but with similar variability. NASA uses homogenisation and gridding and takes data only

    from some specific weather stations, unlike Berkeley Earth.

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    Kansas City New York

  • NOAA Data gives a higher Change in temperature most probably due to homogenisation,

    and also, because there are less measuring sites in regions like Artic and Antarctica.