Hello
I am working with monthly rainfall data. I want to see the dry age by using this monthly data. I want to compute dry spell and wet spell to interpret the monthly rainfall values obtained from my model. Kindly suggest me some ideas
Regards
I am interested in the semantic information and degree of confirmation of rainfall forecasts. I wish I could have both rainfall data and forecasting data. Welcomto cooperate.
Why monthly rainfall data? Nowadays you can find daily, and sub-daily, global scale rainfall data from many sources. E.g.:
1) http://dx.doi.org/10.13140/RG.2.1.4434.8563
2) http://www.gloh2o.org/
Arash Malekian, can you please refer me some links of the process of computing monthly dry spell?
Agree with Luca. Why monthly data there is lots of data even for data scars regions.
What you could do is find a relation of a longtime monthly precipitation data with e.g. elevation and relate this to local data daily data see
https://www.researchgate.net/publication/240483336_Determining_spatial_variability_of_dry_spells_A_Markov-based_method_applied_to_the_Makanya_catchment_Tanzania
https://climexp.knmi.nl/selectdailyseries.cgi?id=someone@somewhere
https://www.google.ch/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwirhfvZ6dnPAhUDfRoKHW2kC0YQFggtMAA&url=http%3A%2F%2Frepository.tudelft.nl%2Fislandora%2Fobject%2Fuuid%3Ad60e1d20-978d-44ce-8199-a696021714a9%2Fdatastream%2FOBJ%2Fdownload&usg=AFQjCNH9uR0xjb-iAcupmrVraiXNN-pkZg
Article Determining spatial variability of dry spells: A Markov-base...
@Juthika If you have up to 30yrs of Monthly rainfall data, you can do some little research into using the Standardized Precipitation Index (SPI) to determine degree of wetness or dryness based on the records, look for this paper especially "The Relationship of Drought Frequency and Duration to Time Scales" by McKee et. al. If you know how to use R software, there are packages to make it easy for you to do the computations.
Even i want to know ,how to calculate monthly dery spell length,that is deficit time on a monthly basis,we have calculated spi but,i want dry spell length for further research but it should be monthly..it would be great,if anyone can help
Dear Juthika Roy
Having monthly climate data is not bad, but it can't go with the reality of the Dry Spell concept. It may go with drought rather. In agriculture, dry spells increase the risk of having enough moisture for our crops. No crop can stay for a month without moisture, particularly cereal crops.
Dear Juthika Roy , where did you get your monthly data? It must be a summed daily data. Therefore have the daily data first. Ask the source of your data provider.
I understand your question that you are not asking how to do the monthly dry spells.
- Definition: Dry spells are defined as periods of at least 5 consecutive days with daily precipitation below 1 mm.
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