http://www.bejson.com/json2javapojo/

转成实体类用Gson解析

可以看看郭霖的第一行代码，里面有关于JSON解析的例子

我们把json文件重新排列，目的是为了呈现其清晰的嵌套结构。因此，可以注意到，json包含这些元素：
由 [] 括起来的称之为数组 JSONArray ;
由 {} 括起来的称之为 JSONObject ;
字符串 String ；
boolean, double, int, long 基本数据类型；

通过JSON Object的方法获取这些数据，比如string： JSONObject.getString(String name)
然后根据JSON文件的结构，一层一层地解析：

 public void parseWeatherObject(JSONObject object) throws JSONException  {
    if (object != null) {
        JSONArray array = object.getJSONArray("HeWeather data service 3.0");
        if (array != null && array.length() > 0) {
            for (int i = 0; i < array.length(); i++) {
                JSONObject weatherItem = array.getJSONObject(i);
                JSONObject basic = weatherItem.getJSONObject("basic");
                JSONArray dailyForecast = weatherItem.getJSONArray("daily_forecast");
                JSONArray hourly_forecast = weatherItem.getJSONArray("hourly_forecast");
                JSONObject now = weatherItem.getJSONObject("now");
                // parse "now"
                parseNowObject(now);
                String status = weatherItem.getString("status");
                JSONObject suggestion = weatherItem.getJSONObject("suggestion");
                i=i;
            }
        }
    }
}

private void parseNowObject(JSONObject now) throws JSONException {
    if (now != null) {
        JSONObject cond = now.getJSONObject("cond");
        int condCode = cond.getInt("code");
        String condTxt = cond.getString("txt");
        int fl = now.getInt("fl");
        int hum = now.getInt("hum");
        String pcpn = now.getString("pcpn");
        // ......            
    }
}

更详细的可以参考 How to parse JSON in Android - StackOverFlow

整理后的JSON文件：

 {"HeWeather data service 3.0":
    [
        {
            "basic":{
                "city":"漯河",
                "cnty":"中国",
                "id":"CN101181501",
                "lat":"33.563000",
                "lon":"114.026000",
                "update":{
                    "loc":"2015-09-15 14:46",
                    "utc":"2015-09-15 06:46"}
            },
            "daily_forecast":[{"astro":{"sr":"06:06","ss":"18:31"},"cond":{"code_d":"100","code_n":"100","txt_d":"晴","txt_n":"晴"},"date":"2015-09-15","hum":"39","pcpn":"0.1","pop":"1","pres":"1016","tmp":{"max":"28","min":"13"},"vis":"10","wind":{"deg":"62","dir":"东风","sc":"微风","spd":"0"}},{"astro":{"sr":"06:07","ss":"18:30"},"cond":{"code_d":"101","code_n":"101","txt_d":"多云","txt_n":"多云"},"date":"2015-09-16","hum":"42","pcpn":"0.0","pop":"0","pres":"1016","tmp":{"max":"28","min":"16"},"vis":"10","wind":{"deg":"74","dir":"东北风","sc":"微风","spd":"0"}},{"astro":{"sr":"06:08","ss":"18:28"},"cond":{"code_d":"101","code_n":"101","txt_d":"多云","txt_n":"多云"},"date":"2015-09-17","hum":"41","pcpn":"0.0","pop":"0","pres":"1017","tmp":{"max":"27","min":"17"},"vis":"10","wind":{"deg":"137","dir":"东风","sc":"微风","spd":"0"}},{"astro":{"sr":"06:08","ss":"18:27"},"cond":{"code_d":"101","code_n":"101","txt_d":"多云","txt_n":"多云"},"date":"2015-09-18","hum":"36","pcpn":"0.0","pop":"1","pres":"1015","tmp":{"max":"28","min":"17"},"vis":"10","wind":{"deg":"117","dir":"无持续风向","sc":"微风","spd":"0"}},{"astro":{"sr":"06:09","ss":"18:26"},"cond":{"code_d":"101","code_n":"100","txt_d":"多云","txt_n":"晴"},"date":"2015-09-19","hum":"35","pcpn":"0.0","pop":"0","pres":"1014","tmp":{"max":"29","min":"17"},"vis":"10","wind":{"deg":"67","dir":"东北风","sc":"3-4","spd":"0"}},{"astro":{"sr":"06:10","ss":"18:24"},"cond":{"code_d":"100","code_n":"100","txt_d":"晴","txt_n":"晴"},"date":"2015-09-20","hum":"31","pcpn":"0.0","pop":"0","pres":"1011","tmp":{"max":"30","min":"17"},"vis":"10","wind":{"deg":"121","dir":"无持续风向","sc":"微风","spd":"0"}},{"astro":{"sr":"06:10","ss":"18:23"},"cond":{"code_d":"100","code_n":"100","txt_d":"晴","txt_n":"晴"},"date":"2015-09-21","hum":"30","pcpn":"0.0","pop":"0","pres":"1010","tmp":{"max":"30","min":"17"},"vis":"10","wind":{"deg":"157","dir":"无持续风向","sc":"微风","spd":"0"}}],

            "hourly_forecast":[{"date":"2015-09-15 16:00","hum":"39","pop":"0","pres":"1015","tmp":"30","wind":{"deg":"60","dir":"东北风","sc":"微风","spd":"12"}},{"date":"2015-09-15 19:00","hum":"53","pop":"0","pres":"1015","tmp":"27","wind":{"deg":"68","dir":"东北风","sc":"微风","spd":"14"}},{"date":"2015-09-15 22:00","hum":"67","pop":"0","pres":"1017","tmp":"23","wind":{"deg":"72","dir":"东北风","sc":"微风","spd":"11"}}],

            "now":{
                "cond":{
                    "code":"100",
                    "txt":"晴"
                },
                "fl":"26",
                "hum":"38",
                "pcpn":"?",
                "pres":"1018",
                "tmp":"27",
                "vis":"10",
                "wind":{
                    "deg":"62",
                    "dir":"东北风",
                    "sc":"4-5",
                    "spd":"0"
                }
            },

            "status":"ok",
            "suggestion":{
                "comf":{"brf":"较舒适","txt":"白天天气晴好，您在这种天气条件下，会感觉早晚凉爽、舒适，午后偏热。"},
                "cw":{"brf":"较适宜","txt":"较适宜洗车，未来一天无雨，风力较小，擦洗一新的汽车至少能保持一天。"},
                "drsg":{"brf":"热","txt":"天气热，建议着短裙、短裤、短薄外套、T恤等夏季服装。"},
                "flu":{"brf":"少发","txt":"各项气象条件适宜，无明显降温过程，发生感冒机率较低。"},
                "sport":{"brf":"较适宜","txt":"天气较好，但考虑气温较低，推荐您进行室内运动，若户外适当增减衣物并注意防晒。"},
                "trav":{"brf":"适宜","txt":"天气较好，温度适宜，是个好天气哦。这样的天气适宜旅游，您可以尽情地享受大自然的风光。"},
                "uv":{"brf":"强","txt":"紫外线辐射强，建议涂擦SPF20左右、PA++的防晒护肤品。避免在10点至14点暴露于日光下。"}
            }
        }
    ]
}

哈哈，我看了一下你关注了我，然后顺便看了一下你的几个问题，我最近也在弄一个天气app。
真巧我也用的这个api，不过还是劝你换一个，这个不好，经常换数据，我就栽里面了，bug调了一下午才发现是这个api的问题。。。

解析这种数量大的json内容，使用GSON会比较轻松，那本书里应该有的。这里有个链接 使用Gson解析复杂的json数据的方法
看完之后一般复杂的json数据你都会用gson解析了，可是"HeWeather data service 3.0"这种奇葩还是不会。
这个时候你就要用SerializedName了。搜索一下我相信你能够找到用法。
要是你用的是android studio的话，可以装个插件GSONFormat，一键生成实体类，更加方便。

我也是新手，共勉