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 Array**The `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 probabilities for each month of the year.| Longitude | Latitude | January | February | March | April | May | June | July | August | September | October | November | December ||-----------|----------|---------|----------|-------|-------|-----|------|------|--------|-----------|---------|----------|----------|| -97.58 | 26.02 | 0.76 | 0.75 | 0.77 | 0.74 | 0.80| 0.86 | 0.94 | 0.97 | 0.89 | 0.77 | 0.74 | 0.77 |Following are the methods to be completed in `WeatherGenerator.java`:```javapublic 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 longitude, double latitude, int month, double[][] 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 The image displays a Java code snippet designed to generate weather forecasts. Here's a detailed transcription and explanation suitable for an educational website:---### Weather Forecast Generator Code#### Code Description:This Java program is used to forecast weather based on input longitude, latitude, and month. The code processes transition probabilities to predict whether each day in the month will be wet or dry.#### Code Breakdown:```javapublic static void main (String[] args) { int numberOfRows = 4001; // Total number of locations int numberOfColumns = 14; // Total number of 14 columns in file // File format: longitude, latitude, 12 months of transition probabilities // Allocate and populate arrays that hold the transition probabilities double[][] drywet = new double[numberOfRows][numberOfColumns]; double[][] wetwet = new double[numberOfRows][numberOfColumns]; populateTransitionProbabilitiesArrays(drywet, wetwet, numberOfRows); /*** WRITE YOUR CODE BELOW THIS LINE. DO NOT erase any of the lines above. ***/ // Read command line inputs double longitude = Double.parseDouble(args[0]); double latitude = Double.parseDouble(args[1]); int month = Integer.parseInt(args[2]); int[] forecast = oneMonthGenerator(longitude, latitude, month, drywet, wetwet); int drySpell = lengthOfLongestSpell(forecast, DRY); int wetSpell = lengthOfLongestSpell(forecast, WET); StdOut.println("There are " + forecast.length + " days in the forecast for month " + month); StdOut.println(drySpell + " days of dry spell."); for (int i = 0; i < forecast.length; i++) { // This is the ternary operator. (conditional) ? executed if true : executed if false String weather = (forecast[i] == WET) ? "Wet" : "Dry"; StdOut.println("Day " + (i+1) + " is forecasted to be " + weather); }}```#### Key Elements:- **Input Handling:** The program reads longitude, latitude, and month from command line arguments to generate the forecast. - **Transition Probability Arrays:** Uses `drywet` and `wetwet` arrays to calculate probabilities. These arrays are populated by a method `populateTransitionProb

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

Answered: he weather generator methods you will…

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE