DrinC: a software for drought analysis based on drought indices

Drought is a complex phenomenon which can be characterised mainly by its severity, duration and areal extent. Among these three dimensions, drought severity is the key factor which can be used for drought analysis. Drought indices are typically used to assess drought severity in a meaningful way. DrinC (Drought Indices Calculator) is a software package which was developed for providing a simple, though adaptable interface for the calculation of drought indices. The paper aims at presenting the overall design and the implementation of the software along with the utilisation of various approaches for drought analysis. DrinC can be used for the calculation of two recently developed indices, the Reconnaissance Drought Index (RDI) and the Streamflow Drought Index (SDI), as well as two widely known indices, the Standardised Precipitation Index (SPI) and the Precipitation Deciles (PD). Moreover, the software includes a module for the estimation of potential evapotranspiration (PET) through temperature based methods, useful for the calculation of RDI. The software may be used in a variety of applications, such as drought monitoring, assessment of the spatial distribution of drought, investigation of climatic and drought scenarios, etc. The applications of DrinC in several locations, especially in arid and semi-arid regions, show that it is gaining ground as a useful research and operational tool for drought analysis.

[1]  H. C. S. Thom,et al.  a Note on the Gamma Distribution , 1958 .

[2]  G. Tsakiris,et al.  Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI) , 2007 .

[3]  Lien Poelmans,et al.  A System-based Paradigm of Drought Analysis for Operational Management , 2013, Water Resources Management.

[4]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[5]  G. Tsakiris,et al.  The effect of PET method on Reconnaissance Drought Index (RDI) calculation , 2013 .

[6]  George Tsakiris,et al.  Towards a Drought Watch System based on Spatial SPI , 2004 .

[7]  G. Tsakiris,et al.  Drought Characterisation in the Mediterranean , 2009 .

[8]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[9]  G. Tsakiris,et al.  Chapter 7 . Drought characterization , 2022 .

[10]  Thorsten Gerber,et al.  Handbook Of Mathematical Functions , 2016 .

[11]  G. Tsakiris,et al.  Regional Drought Identification and Assessment. Case Study in Crete , 2007 .

[12]  G. Tsakiris,et al.  Medbasin : a Mediterranean rainfall-runoff software package , 2006 .

[13]  N. Dalezios,et al.  Assessment of remotely sensed drought features in vulnerable agriculture , 2012 .

[14]  A. Sutera,et al.  Drought Monitoring and Forecasting at Large Scale , 2007 .

[15]  Sergio M. Vicente-Serrano,et al.  Calculation of the Standardised Precipitation-EvapotranspirationIndex , 2013 .

[16]  S. Morid,et al.  Comparison of seven meteorological indices for drought monitoring in Iran , 2006 .

[17]  N. Dalezios,et al.  Geoinformatic Intelligence Methodologies for Drought Spatiotemporal Variability in Greece , 2012, Water Resources Management.

[18]  George H. Hargreaves,et al.  Reference Crop Evapotranspiration from Temperature , 1985 .

[19]  Donald A. Wilhite,et al.  Drought : a global assessment , 2000 .

[20]  Marcello Benedini,et al.  On regional drought estimation and analysis , 1992 .

[21]  C. Brouwer,et al.  Irrigation water management training manual no.3 irrigation water needs , 1985 .

[22]  Vijendra K. Boken,et al.  Monitoring and Predicting Agricultural Drought: A Global Study , 2005 .

[23]  Assessing the Areal Extent of Drought , 2007 .

[24]  S. C.,et al.  A NOTE ON THE GAMMA DISTRIBUTION , 1958 .

[25]  G. Tsakiris,et al.  Drought meteorological monitoring network design for the Reconnaissance Drought Index ( RDI ) , 2013 .

[26]  D. C. Edwards,et al.  Characteristics of 20th Century Drought in the United States at Multiple Time Scales. , 1997 .

[27]  The RDI as a composite climatic index , 2013 .

[28]  G. Ciraolo,et al.  Time Series Analysis of Climate and Vegetation Variables in the Oreto Watershed ( Sicily , Italy ) , 2009 .

[29]  Status and Trends , 2014 .

[30]  S. Michaelides,et al.  Implementation of the Standardized Precipitation Index ( SPI ) and the Reconnaissance Drought Index ( RDI ) for Regional Drought Assessment : A case study for Cyprus , 2009 .

[31]  Giuseppe Rossi,et al.  Methods and tools for drought analysis and management , 2007 .

[32]  G. Tsakiris,et al.  Drought impacts on yield potential in rainfed agriculture. , 2010 .

[33]  George Tsakiris,et al.  Assessment of Hydrological Drought Revisited , 2009 .

[34]  V. U. Smakhtin,et al.  Automated estimation and analyses of meteorological drought characteristics from monthly rainfall data , 2007, Environ. Model. Softw..

[35]  J. Doorenbos,et al.  Guidelines for predicting crop water requirements , 1977 .

[36]  A. Cancelliere,et al.  COPING WITH DROUGHT RISK IN AGRICULTURE AND WATER SUPPLY SYSTEMS: DROUGHT MANAGEMENT AND POLICY DEVELOPMENT IN THE MEDITERRANEAN , 2009 .

[37]  C. W. Thornthwaite.  An approach toward a rational classification of climate. , 1948 .

[38]  Drought Monitoring as a Component of Drought Preparedness Planning , 2009 .

[39]  George Tsakiris,et al.  Drought and climatic change impact on streamflow in small watersheds. , 2012, The Science of the total environment.