This objective of this project is about analysing the Climate data afor Hamburg based on the data from the following https://www.dwd.de/DE/wetter/wetterundklima_vorort/schleswig-holstein_hamburg/hamburg/_node.html The data collected is from the time period 1936-2023 based on daily frequency. Station i.d. :- Hamburg Fuhlsbüttel Latitutde 53.6332 Longitude is 9.9881
The Analysis is done in two aspects. The first aspect deals with Climate and the second aspect deals with Drought.
Temperature :- For Temperature I analyse the Average, Maximum and Minimum Temperatures based on annual and monthly frequency and also seasonal variations for understanding the trend .
The Average_Temperature_Plots folder contains the plots for Average Temperature based on annual and seasonal and monthly data.
The Maximum_Temperature_Plots contains the plots for Maximum Temperature based on annual, seasonal data
Drought:- For Drought I estimate the commonly used drought indices like SPI,SPEI,RDI and PDSI indices and then analyse them based on annual and monthly frequnecy to understand the trend
The Standardized Precipitation Index (SPI) is the most commonly used indicator worldwide fordetecting and characterizing meteorological droughts. The SPI indicator, which was developed by McKee et al. (1993), and described in detail by Edwards and McKee (1997), measures precipitation anomalies at a given location, based on a comparison of observed total precipitation amounts for an accumulation period of interest (e.g. 1, 3, 12, 48 months), with the long-term historic rainfallrecord for that period. The historic record is fitted to a probability distribution (the “gamma” distribution), which is then transformed into a normal distribution such that the mean SPI value for that location and period is zero. For any given region, increasingly severe rainfall deficits (i.e.,meteorological droughts) are indicated as SPI decreases below ‒1.0, while increasingly severe excess rainfall are indicated as SPI increases above 1.0. Because SPI values are in units of standard deviation from the long-term mean, the indicator can be used to compare precipitation anomalies for any geographic location and for any number of time-scales. Note that the name of the indicator is usually modified to include the accumulation period. Thus, SPI-3 and SPI-12, for example, refer to accumulation periods of three and twelve months, respectively. T
The spi_plots folder includes the plots for spi_index for 3,6,9,12 monthly and annual series respectively
The Standardized Precipitation Evapotranspiration Index (SPEI) is an extension of the widely used Standardized Precipitation Index (SPI). The SPEI is designed to take into account both precipitation and potential evapotranspiration (PET) in determining drought. Thus, unlike the SPI, the SPEI captures the main impact of increased temperatures on water demand. Like the SPI, the SPEI can be calculated on a range of timescales from 1-48 months.