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Download_Script.py
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'''
*Version: 2.0 Published: 2021/03/09* Source: [NASA POWER](https://power.larc.nasa.gov/)
POWER API Multi-Point Download
This is an overview of the process to request data from multiple data points from the POWER API.
'''
import os, json, requests
import pandas as pd
import datetime
import time
def download_all_INMET_stations():
Station_catalog=pd.read_csv(r"C:\Users\rickg\Desktop\Solar Radiation Project\Data\00-CatalogoEstaçõesAutomáticas.csv",delimiter=";").iloc[:,0:5]
num_stations=len(Station_catalog)
counter=1;
for index, row in Station_catalog.iterrows():
Start_Time = time.time()
print("Processing station - "+row['CD_ESTACAO']+" ("+str(counter)+" of "+str(num_stations)+" stations).")
counter+=1
latitude=float(row['VL_LATITUDE'].replace(",","."))
longitude=float(row['VL_LONGITUDE'].replace(",","."))
station_name=row['CD_ESTACAO']+" ("+row['DC_NOME']+"_"+row['SG_ESTADO']+").csv"
output = r"C:\Users\rickg\Desktop\Solar Radiation Project\Data\\"+station_name
#base_url = r"https://power.larc.nasa.gov/api/temporal/daily/point?parameters=T2M,T2MDEW,T2MWET,TS,T2M_RANGE,T2M_MAX,T2M_MIN&community=RE&longitude={longitude}&latitude={latitude}&start=20150101&end=20150305&format=JSON"
base_url = r"https://power.larc.nasa.gov/api/temporal/monthly/point?parameters=ALLSKY_SFC_SW_DWN,ALLSKY_KT,CLOUD_AMT,T2M,RH2M,PS,WS10M&community=RE&longitude={longitude}&latitude={latitude}&format=JSON&start=1981&end=2022&format=JSON"
api_request_url = base_url.format(longitude=longitude, latitude=latitude)
response = requests.get(url=api_request_url, verify=True, timeout=30.00).json()
#geometry=response.get("geometry")
header=response.get("header")
start=header.get("start")
end=header.get("end")
parameters=response.get("parameters")
properties=response.get("properties")
values=properties.get("parameter")
header_text=header.get("title")+"\n"
header_text+="Latitude: "+str(latitude) +" "+"Longitude: "+str(longitude)+"\n"
header_text+= "Station ID: "+row['CD_ESTACAO']+" ("+row['DC_NOME']+" "+row['SG_ESTADO'] +")\n"
variable_legend="Legend:\n"
station_data=pd.DataFrame()
for key in parameters:
parameters.get(key)
longname=parameters.get(key).get("longname")
units=parameters.get(key).get("units")
variable_legend+=longname+ " - ("+units+")\n"
current_variable=values.get(key)
current_variable=pd.json_normalize(current_variable).transpose().rename(columns={0:key})
station_data=pd.concat([station_data,current_variable],axis=1)
header_text+=variable_legend+'\n'
index_value=station_data.index.astype("str")
date_index=[]
yearly_avg=pd.DataFrame()
for value in index_value:
year=int(value[0:4])
month=int(value[4::])
if(month!=13):
date=datetime.datetime(year,month,1)
date_index.append(date)
else:
yearly_avg_row=station_data.iloc[station_data.index==value]
yearly_avg_row.index=[year]
station_data=station_data.drop(value)
yearly_avg=pd.concat([yearly_avg,yearly_avg_row])
station_data=station_data.reset_index()
station_data.index=date_index
station_data=station_data.drop('index',axis=1)
station_data=station_data.reset_index()
station_data=station_data.rename(columns={'index':'Date'})
with open(output, 'w') as fp:
fp.write(header_text)
station_data.to_csv(output,mode='a',index=False)
yearly_output=r'C:\Users\rickg\Desktop\Solar Radiation Project\Data\Yearly Average\\'+station_name
with open(yearly_output, 'w') as fp:
fp.write(header_text)
yearly_avg=yearly_avg.reset_index()
yearly_avg=yearly_avg.rename(columns={'index':'Year'})
yearly_avg.to_csv(yearly_output,mode='a',index=False)
del(station_data)
del(current_variable)
print ("Station "+row['CD_ESTACAO']+" finished processing ("+str(round((time.time() - Start_Time), 3))+" s)")
#break;
def download_01_degree_grid():
grid_catalog=pd.read_csv(r"C:\Users\rickg\Desktop\Solar Radiation Project\Maps\Grid (01 degree).csv")
grid_catalog=grid_catalog.iloc[:,0:2].rename(columns={'X':'Longitude','Y':'Latitude'})
num_stations=len(grid_catalog)
counter=1;
print('Downloading data for 01 degree grid.')
for index, row in grid_catalog.iterrows():
#Start_Time = time.time()
#print("Processing station - "+row['CD_ESTACAO']+" ("+str(counter)+" of "+str(num_stations)+" stations).")
print("Processing point - "+str(counter)+" of "+str(num_stations)+" points.")
counter+=1
latitude=float(row['Latitude'])
longitude=float(row['Longitude'])
station_name='('+str(latitude)+';'+str(longitude)+').csv'
output = r"C:\Users\rickg\Desktop\Solar Radiation Project\Heatmaps\01 degree grid\\"+station_name
#base_url = r"https://power.larc.nasa.gov/api/temporal/daily/point?parameters=T2M,T2MDEW,T2MWET,TS,T2M_RANGE,T2M_MAX,T2M_MIN&community=RE&longitude={longitude}&latitude={latitude}&start=20150101&end=20150305&format=JSON"
base_url = r"https://power.larc.nasa.gov/api/temporal/monthly/point?parameters=ALLSKY_SFC_SW_DWN&community=RE&longitude={longitude}&latitude={latitude}&format=JSON&start=1981&end=2022&format=JSON"
api_request_url = base_url.format(longitude=longitude, latitude=latitude)
response = requests.get(url=api_request_url, verify=True, timeout=30.00).json()
#geometry=response.get("geometry")
header=response.get("header")
start=header.get("start")
end=header.get("end")
parameters=response.get("parameters")
properties=response.get("properties")
values=properties.get("parameter")
#header_text=header.get("title")+"\n"
#header_text+="Latitude: "+str(latitude) +" "+"Longitude: "+str(longitude)+"\n"
#header_text+= "Station ID: "+row['CD_ESTACAO']+" ("+row['DC_NOME']+" "+row['SG_ESTADO'] +")\n"
#variable_legend="Legend:\n"
station_data=pd.DataFrame()
for key in parameters:
parameters.get(key)
#longname=parameters.get(key).get("longname")
#units=parameters.get(key).get("units")
#variable_legend+=longname+ " - ("+units+")\n"
current_variable=values.get(key)
current_variable=pd.json_normalize(current_variable).transpose().rename(columns={0:key})
station_data=pd.concat([station_data,current_variable],axis=1)
#header_text+=variable_legend+'\n'
index_value=station_data.index.astype("str")
date_index=[]
yearly_avg=pd.DataFrame()
for value in index_value:
year=int(value[0:4])
month=int(value[4::])
if(month!=13):
date=datetime.datetime(year,month,1)
date_index.append(date)
else:
yearly_avg_row=station_data.iloc[station_data.index==value]
yearly_avg_row.index=[year]
station_data=station_data.drop(value)
yearly_avg=pd.concat([yearly_avg,yearly_avg_row])
station_data=station_data.reset_index()
station_data.index=date_index
station_data=station_data.drop('index',axis=1)
station_data=station_data.reset_index()
station_data=station_data.rename(columns={'index':'Date'})
'''with open(output, 'w') as fp:
fp.write(header_text)'''
station_data.to_csv(output,mode='a',index=False)
yearly_output=r'C:\Users\rickg\Desktop\Solar Radiation Project\Heatmaps\01 degree grid\Yearly Average\\'+station_name
'''with open(yearly_output, 'w') as fp:
fp.write(header_text)'''
yearly_avg=yearly_avg.reset_index()
yearly_avg=yearly_avg.rename(columns={'index':'Year'})
yearly_avg.to_csv(yearly_output,mode='a',index=False)
del(station_data)
del(current_variable)
#print ("Station "+row['CD_ESTACAO']+" finished processing ("+str(round((time.time() - Start_Time), 3))+" s)")
#break;
download_01_degree_grid()
#print('teste')