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update v0.0.2, add default value

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Sola
2023-03-19 22:40:32 +08:00
parent 5ce115a7a2
commit 99a8fa9253
1 changed files with 41 additions and 38 deletions
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model_info_2d.py
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@ -1,14 +1,25 @@
import numpy as np import numpy as np
import cartopy.crs as ccrs import cartopy.crs as ccrs
class model_info_2d(object): class model_info_2d(object):
""" """
用于创建模式网格, 并包含了相关信息, 提供了方便坐标与经纬度相互转换的工具 用于创建模式网格, 并包含了相关信息, 提供了方便坐标与经纬度相互转换的工具
基于Numpy和Cartopy.crs构建, 仅支持方形网格 基于Numpy和Cartopy.crs构建, 仅支持方形网格
""" """
def __init__(self, proj, nx, ny, dx, dy, lowerleft=None, \ def __init__(
nt=None, dt=None, var_list=None, type=None) -> None: self,
proj : ccrs.PlateCarree = None,
nx : int = None,
ny : int = None,
dx : float = None,
dy : float = None,
lowerleft : list = None,
nt : int = None,
dt : float = None,
var_list : list = None,
type : str = None
) -> None:
""" """
用于初始化网格, 如果不给定左下角经纬度坐标, 则默认投影坐标原点位置为网格 用于初始化网格, 如果不给定左下角经纬度坐标, 则默认投影坐标原点位置为网格
中心, 并依据此建立网格 中心, 并依据此建立网格
@ -39,46 +50,38 @@ class model_info_2d(object):
2023-03-18 15:17:40 Sola v4 删除扩展边界的选项 2023-03-18 15:17:40 Sola v4 删除扩展边界的选项
2023-03-18 15:18:04 Sola v4 修正输入高维数组时, 计算报错的问题 2023-03-18 15:18:04 Sola v4 修正输入高维数组时, 计算报错的问题
2023-03-18 16:22:17 Sola v5 增加支持获取加密网格的方法, 用于超采样清单 2023-03-18 16:22:17 Sola v5 增加支持获取加密网格的方法, 用于超采样清单
2023-03-19 21:53:51 Sola v0.0.2 加入了默认的网格(经纬度网格), 以方便了解功能
测试记录: 测试记录:
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 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
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 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
""" """
if type is None: try:
self.type = 'unknown' self.type = 'lonlat' if type is None else type # 类型
else: self.nx = 360 if nx is None else nx # x方向网格数
self.type = type # 类型 self.ny = 180 if ny is None else ny # y 方向网格数
self.nx = nx # x方向网格数 self.projection = ccrs.PlateCarree() if proj is None else proj # 投影类别, 使用cartopy的crs提供
self.ny = ny # y方向网格数 self.dx = 1 if dx is None else dx # 在该投影下x方向间距
self.projection = proj # 投影类别, 使用cartopy的crs提供 self.dy = 1 if dy is None else dy # 在该投影下y方向间距
self.dx = dx # 在该投影下x方向间距 self.dt = 1 if dt is None else dt # 时间间隔(小时)
self.dy = dy # 在该投影下y方向间距 self.nt = 1 if nt is None else nt # 每个文件中包含多少时间点
if dt is None: # 时间间隔(小时) self.var_list = [] if var_list is None else var_list # 变量列表
self.dt = 1 if lowerleft is None:
else: zero_lon, zero_lat = ccrs.PlateCarree().transform_point(
self.dt = dt -self.dx*(self.nx-1)/2, -self.dy*(self.ny-1)/2, self.projection)
if nt is None: # 每个文件中包含多少时间点
self.nt = 1
else:
self.nt = nt
if lowerleft is None:
zero_lon, zero_lat = ccrs.PlateCarree().transform_point(\
-dx*(nx-1)/2, -dy*(ny-1)/2, proj)
self.lowerleft = [zero_lon, zero_lat]
else:
if len(lowerleft) == 2:
self.lowerleft = lowerleft # 左下角坐标(经纬度)
else:
zero_lon, zero_lat = ccrs.PlateCarree().transform_point(\
lowerleft[0], lowerleft[1], lowerleft[2])
self.lowerleft = [zero_lon, zero_lat] self.lowerleft = [zero_lon, zero_lat]
if var_list is None: # 变量列表 else:
self.var_list = [] if len(lowerleft) == 2:
else: self.lowerleft = lowerleft # 左下角坐标(经纬度)
self.var_list = var_list else:
self.lowerleft_projxy = self.projection.transform_point( zero_lon, zero_lat = ccrs.PlateCarree().transform_point(\
self.lowerleft[0], self.lowerleft[1], lowerleft[0], lowerleft[1], lowerleft[2])
ccrs.PlateCarree() self.lowerleft = [zero_lon, zero_lat]
) # 计算投影下的坐标 self.lowerleft_projxy = self.projection.transform_point(
self.lowerleft[0], self.lowerleft[1],
ccrs.PlateCarree()
) # 计算投影下的坐标
finally:
print(f"{self.__dict__}")
def grid_id_float(self, original_x, original_y, original_proj=ccrs.PlateCarree()): def grid_id_float(self, original_x, original_y, original_proj=ccrs.PlateCarree()):
""" """