The weather generator methods you will be writing for this assignment will:predict future precipitation pattern for one month: oneMonthGeneratorfind the number of wet or dry days in a given month’s forecast: numberOfWetDryDaysfind the longest wet or dry spell in a given month’s forecast: lengthOfLongestWetDrySpell Future transition probability table as a 2D arrayThe oneMonthGenerator method receives as arguments the transition probability tables (dry to wet, and wet to wet) as 2D arrays.Each table row corresponds to a location (longitude, latitude) in the USA and contains the transition probabilitiesfor each month of the year.Longitude Latitude January February March April May June July August September October November December-97.5826.020.760.750.77 0.74 0.80 0.86 0.94 0.970.890.770.740.77Following are the methods to be completed in WeatherGenerator.java:public class WeatherGenerator {/* Given a location (longitude, latitude) in the USA and a month of the year, the method* returns the forecast for the month based on the drywet and wetwet transition* probabilities tables.** month will be a value between 2 and 13: 2 corresponds to January, 3 corresponds to February* and so on. These are the column indexes of each month in the transition probabilities tables.* The first day of the month has a 50% chance to be a wet day, 0-0.49 (wet), 0.50-0.99 (dry)* Use StdRandom.uniform() to generate a real number uniformly in [0,1)* /int[] oneMonthGenerator (double longitute, double latitude, int month, double0] drywet, double[][] wetwet)// Returns the longest number of consecutive mode (WET or DRY) days in forecast.int numberofWetDryDays (int[] forecast, int mode)/ ** Analyzes the forecast array and returns the longest number of* consecutive mode (which can be WET or DRY) days in forecast.* /int lengthofLongestWetDrySpell (int[] forecast, int mode)} Use the main method as a driver to test your methods. To generate the weather for location at longitude -98.76 and latitude 26.70 for the month ofFebruary do:java WeatherGenerator111 -98.76 26.7O 3public static void main (String[] args) {int number0fRows= 4001; // Total number of locations// Total number of 14 columns in file// File format: longitude, latitude, 12 months of transition probabilitiesint number0fColumns =14;// Allocate and populate arrays that hold the transition probabilitiesdouble[][] drywetdouble[][] wetwet = new double[numberofRows ] [ numberOfColumns];populateTransitionProbabilitiesArrays (drywet, wetwet, numberofRows);new double[number0fRows ] [numberOfColumns];%D/*** WRITE YOUR CODE BELLOW THIS LINE. DO NOT erase any of the lines above. ***/// Read command line inputsdouble longituteDouble.parseDouble(args[0]);Double.parseDouble(args[1]);= Integer.parseInt(args[2]);double latitude%3Dintmonthint[] forecast = oneMonthGenerator(longitute, latitude, month, drywet, wetwet);int drySpellint wetSpelllengthofLongestSpell(forecast, DRY);lengthofLongestSpell(forecast, WET);%3D%3D+ month);Stdout.println("There areStdOut.println(drySpell ++ forecast.length +days of dry spell.");days in the forecast for monthfor ( int i =0; i

Question

The weather generator methods you will be writing for this assignment will:predict future precipitation pattern for one month: oneMonthGeneratorfind the number of wet or dry days in a given month’s forecast: numberOfWetDryDaysfind the longest wet or dry spell in a given month’s forecast: lengthOfLongestWetDrySpell Future transition probability table as a 2D arrayThe oneMonthGenerator method receives as arguments the transition probability tables (dry to wet, and wet to wet) as 2D arrays.Each table row corresponds to a location (longitude, latitude) in the USA and contains the transition probabilitiesfor each month of the year.Longitude Latitude January February March April May June July August September October November December-97.5826.020.760.750.77 0.74 0.80 0.86 0.94 0.970.890.770.740.77Following are the methods to be completed in WeatherGenerator.java:public class WeatherGenerator {/* Given a location (longitude, latitude) in the USA and a month of the year, the method* returns the forecast for the month based on the drywet and wetwet transition* probabilities tables.** month will be a value between 2 and 13: 2 corresponds to January, 3 corresponds to February* and so on. These are the column indexes of each month in the transition probabilities tables.* The first day of the month has a 50% chance to be a wet day, 0-0.49 (wet), 0.50-0.99 (dry)* Use StdRandom.uniform() to generate a real number uniformly in [0,1)* /int[] oneMonthGenerator (double longitute, double latitude, int month, double0] drywet, double[][] wetwet)// Returns the longest number of consecutive mode (WET or DRY) days in forecast.int numberofWetDryDays (int[] forecast, int mode)/ ** Analyzes the forecast array and returns the longest number of* consecutive mode (which can be WET or DRY) days in forecast.* /int lengthofLongestWetDrySpell (int[] forecast, int mode)} Use the main method as a driver to test your methods. To generate the weather for location at longitude -98.76 and latitude 26.70 for the month ofFebruary do:java WeatherGenerator111 -98.76 26.7O 3public static void main (String[] args) {int number0fRows= 4001; // Total number of locations// Total number of 14 columns in file// File format: longitude, latitude, 12 months of transition probabilitiesint number0fColumns =14;// Allocate and populate arrays that hold the transition probabilitiesdouble[][] drywetdouble[][] wetwet = new double[numberofRows ] [ numberOfColumns];populateTransitionProbabilitiesArrays (drywet, wetwet, numberofRows);new double[number0fRows ] [numberOfColumns];%D/*** WRITE YOUR CODE BELLOW THIS LINE. DO NOT erase any of the lines above. ***/// Read command line inputsdouble longituteDouble.parseDouble(args[0]);Double.parseDouble(args[1]);= Integer.parseInt(args[2]);double latitude%3Dintmonthint[] forecast = oneMonthGenerator(longitute, latitude, month, drywet, wetwet);int drySpellint wetSpelllengthofLongestSpell(forecast, DRY);lengthofLongestSpell(forecast, WET);%3D%3D+ month);Stdout.println(&#34;There areStdOut.println(drySpell ++ forecast.length +days of dry spell.&#34;);days in the forecast for monthfor ( int i =0; i < forecast.length; i++ ) {// This is the ternary operator. (conditional) ? executed if true : executed if falseString weather =StdOut.println(&#34;DayWET) ? &#34;Wet&#34;is forecasted to be: &#34;Dry&#34;;(forecast[i]+ (i+1) ++ weather);}}

Accepted Answer

A weather generator produces a “synthetic” time series of weather data for a location based onthe…