v0.0.12 改进了select方法, 并增加了判断是否在某个extent内的功能
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@ -37,11 +37,11 @@ class model_info_2d(object):
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dx : x方向网格距离(在目标网格投影下, 例如兰伯特是米, 等经纬是度)
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dy : y方向网格距离
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可选参数:
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lowerleft_lonlat : 左下角坐标(经纬度)
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lowerleft_lonlat : 左下角 (0, 0) 位置坐标 (经纬度)
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nt : 每个模式输出文件的时间段个数
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dt : 每个模式输出文件的时间间隔(小时)
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dt : 每个模式输出文件的时间间隔 (小时)
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var_list : 模式包含的变量列表
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type : 模式的类型(只是一个标记)
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type : 模式的类型 (只是一个标记)
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globe : 地球形状设定
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debug : 设置打印的信息
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更新记录:
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@ -75,6 +75,7 @@ class model_info_2d(object):
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设计的网格旋转函数需要保证旋转前后中心位置不变,各网格相对位置不变即可
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注意, 这里输入的左下角坐标与通过中心计算的左下角坐标均为旋转前的
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2025-07-14 15:42:22 Sola v0.0.11 增加select方法, 用于选取某个经纬度范围的数据
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2025-07-14 23:24:51 Sola v0.0.12 改进了select方法, 并增加了判断是否在某个extent内的功能
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测试记录:
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2022-09-28 16:28:10 Sola v2 新的简化网格生成方法测试完成, 结果与旧版一致
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2022-09-28 18:27:59 Sola v2 测试了使用proj_LC投影的相关方法, 网格与WRF一致
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@ -379,7 +380,7 @@ class model_info_2d(object):
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extent = [constrain_lon(lon_start), constrain_lon(lon_end), constrain_lat(lat_start), constrain_lat(lat_end)]
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return extent
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def is_in_domain(self, origin_x, origin_y, use_float=False):
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def is_in_domain(self, origin_x, origin_y, use_float=False, extent=None):
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"""
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用于判断坐标(经纬度)是否在模式网格范围内
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Update:
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@ -389,7 +390,12 @@ class model_info_2d(object):
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ix, iy = self.grid_id_float(origin_x, origin_y)
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else:
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ix, iy = self.grid_id(origin_x, origin_y)
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result = (0 <= ix) & (ix <= self.nx - 1) & (0 <= iy) & (iy <= self.ny - 1)
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if extent is None:
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xs, xe, ys, ye = 0, self.nx - 1, 0, self.ny - 1
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else:
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xs, xe, ys, ye = self.get_select_xy_offset(extent)
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xe, ye = xe - 1, ye - 1
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result = (xs <= ix) & (ix <= xe) & (ys <= iy) & (iy <= ye)
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return result
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def rotate_xy(self, x, y, rotate_rad=None):
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@ -422,7 +428,10 @@ class model_info_2d(object):
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ix_new, iy_new = ix, iy
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return ix_new, iy_new
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def select(self, data, extent: list = [-180, 180, -90, 90]):
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def get_select_xy_extent(self, extent: list = [-180, 180, -90, 90]):
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"""
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根据经纬度范围获取坐标范围
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"""
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nx, ny = self.nx, self.ny
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lon_s, lon_e, lat_s, lat_e = extent
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lon_list = np.concatenate([
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@ -438,10 +447,28 @@ class model_info_2d(object):
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np.linspace(lat_e, lat_s, ny-1)
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])
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x_list, y_list = self.grid_id_float(lon_list, lat_list)
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limit_range = lambda x, xs, xe: x + (xs - x)*(x < xs) - (x - (xe - 1))*(x > (xe - 1))
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x_s, x_e = int(np.ceil(limit_range(np.min(x_list), -0.5, nx-0.5))), int(np.floor(limit_range(np.max(x_list), -0.5, nx-0.5)) + 1)
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y_s, y_e = int(np.ceil(limit_range(np.min(y_list), -0.5, ny-0.5))), int(np.floor(limit_range(np.max(y_list), -0.5, ny-0.5)) + 1)
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data_select = data[y_s:y_e, x_s:x_e]
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xs_float, xe_float, ys_float, ye_float = np.min(x_list), np.max(x_list), np.min(y_list), np.max(y_list)
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return xs_float, xe_float, ys_float, ye_float
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def get_select_xy_offset(self, extent: list = [-180, 180, -90, 90]):
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"""
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根据经纬度范围获取坐标偏移量
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"""
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nx, ny = self.nx, self.ny
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xs_float, xe_float, ys_float, ye_float = self.get_select_xy_extent(extent)
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limit_range = lambda x, vmin, vmax: x + (vmin - x)*(x < vmin) - (x - vmax)*(x > vmax) # x \in [xs, xe]
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xs, xe, ys, ye = round(xs_float), round(xe_float), round(ys_float), round(ye_float)
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xs, xe = limit_range(xs, 0, nx-1), limit_range(xe, 0, nx-1)+1
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ys, ye = limit_range(ys, 0, ny-1), limit_range(ye, 0, ny-1)+1
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return xs, xe, ys, ye
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def select(self, data, extent: list = [-180, 180, -90, 90]):
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"""
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根据经纬度范围截取数据
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"""
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xs, xe, ys, ye = self.get_select_xy_offset(extent)
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data_select = data[ys:ye, xs:xe]
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return data_select
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