1
0
Fork 0
fgdata/Nasal/local_weather/cloud_placement_lowlevel.nas

547 lines
15 KiB
Text

########################################################
# routines to set up, transform and manage advanced weather
# Thorsten Renk, April 2012
########################################################
# function purpose
#
# create_undulatus to create an undulating cloud pattern
# create_cumulus_alleys to create an alley pattern of Cumulus clouds
# create_layer to create a cloud layer with optional precipitation
###########################################################
# place an undulatus pattern
###########################################################
var create_undulatus = func (type, blat, blong, balt, alt_var, nx, xoffset, edgex, x_var, ny, yoffset, edgey, y_var, und_strength, direction, tri) {
var flag = 0;
var path = "Models/Weather/blank.ac";
local_weather.calc_geo(blat);
var dir = direction * math.pi/180.0;
var ymin = -0.5 * ny * yoffset;
var xmin = -0.5 * nx * xoffset;
var xinc = xoffset * (tri-1.0) /ny;
var jlow = int(nx*edgex);
var ilow = int(ny*edgey);
var und = 0.0;
var und_array = [];
for (var i=0; i<ny; i=i+1)
{
und = und + 2.0 * (rand() -0.5) * und_strength;
append(und_array,und);
}
for (var i=0; i<ny; i=i+1)
{
var y = ymin + i * yoffset + 2.0 * (rand() -0.5) * 0.2 * yoffset;
for (var j=0; j<nx; j=j+1)
{
var y0 = y + y_var * 2.0 * (rand() -0.5);
var x = xmin + j * (xoffset + i * xinc) + x_var * 2.0 * (rand() -0.5) + und_array[i];
var lat = blat + m_to_lat * (y0 * math.cos(dir) - x * math.sin(dir));
var long = blong + m_to_lon * (x * math.cos(dir) + y0 * math.sin(dir));
var alt = balt + alt_var * 2 * (rand() - 0.5);
flag = 0;
var rn = 6.0 * rand();
if (((j<jlow) or (j>(nx-jlow-1))) and ((i<ilow) or (i>(ny-ilow-1)))) # select a small or no cloud
{
if (rn > 2.0) {flag = 1;} else {path = select_cloud_model(type,"small");}
}
if ((j<jlow) or (j>(nx-jlow-1)) or (i<ilow) or (i>(ny-ilow-1)))
{
if (rn > 5.0) {flag = 1;} else {path = select_cloud_model(type,"small");}
}
else { # select a large cloud
if (rn > 5.0) {flag = 1;} else {path = select_cloud_model(type,"large");}
}
if (flag==0){
if (thread_flag == 1)
{create_cloud_vec(path, lat, long, alt, 0.0);}
else
{local_weather.create_cloud(path, lat, long, alt, 0.0);}
}
}
}
}
###########################################################
# place an advanced undulatus pattern
###########################################################
var create_adv_undulatus = func (arg) {
var markov_array = [];
var rnd_array = [];
var max_num_clouds = int(arg.xsize/arg.cloud_spacing)+1;
var max_num_streaks = int(arg.ysize/arg.undulatus_spacing)+1;
var path = "Models/Weather/blank.ac";
var counter = 0;
append(markov_array,0.0);
var rn = 0.0;
arg.dir = arg.dir + 90.0;
for (var i=1; i<max_num_clouds; i=i+1)
{
rn = rand();
append(markov_array, markov_array[i-1] + 2.0 * (rn -0.5) * arg.undulatus_amplitude + arg.undulatus_slant);
append(rnd_array, rn);
}
for (i=0; i< max_num_streaks; i=i+1)
{
var streak_ypos = -0.5 * arg.ysize + i * arg.undulatus_spacing;
var aspect_num_clouds = int((arg.aspect + (1.0-arg.aspect) * i/max_num_streaks) * max_num_clouds);
for (var j = 0; j< aspect_num_clouds; j=j+1)
{
var y = streak_ypos + markov_array[j];
var x = -0.5 * arg.xsize + j * arg.cloud_spacing;
x = x - arg.Dx + 2.0 * rand() * arg.Dx;
y = y - arg.Dy + 2.0 * rand() * arg.Dy;
var flag = 0;
var bias =1.0 - (1.0* math.abs(i-0.5 * max_num_streaks)/max_num_streaks + 1.0* math.abs(j-0.5 * aspect_num_clouds)/aspect_num_clouds);
var comp = -.25 * rnd_array[j] + 0.75 * bias;
comp = comp + arg.size_bias;
if (comp > 0.7)
{
flag = 1;
path = select_cloud_model(arg.type,"large")
}
else if (comp > 0.4)
{
flag = 1;
path = select_cloud_model(arg.type,"small")
}
var lat = arg.blat + m_to_lat * (y * math.cos(arg.dir) - x * math.sin(arg.dir));
var lon = arg.blon + m_to_lon * (x * math.cos(arg.dir) + y * math.sin(arg.dir));
var alt = arg.balt + arg.alt_var * 2 * (rand() - 0.5);
if (flag > 0)
{create_cloud_vec(path, lat, lon, alt, 0.0); counter = counter +1;}
}
}
#print("Cloud count: ",counter);
}
###########################################################
# place a stick bundle pattern
###########################################################
var sgn = func (x) {
if (x<0.0) {return -1.0;}
else {return 1.0;}
}
var create_stick_bundle = func (arg) {
var path = "Models/Weather/blank.ac";
var base_size_scale = local_weather.cloud_size_scale;
for (var i = 0; i<arg.n_sticks; i=i+1)
{
var stick_x = 0.5 * math.pow(rand(),2.0) * arg.xsize * sgn(rand()-0.5);
var stick_y = 0.5 * math.pow(rand(),2.0) * arg.ysize * sgn(rand()-0.5);
var stick_length = arg.stick_length_min + int(rand() * (arg.stick_length_max - arg.stick_length_min) );
var stick_Dphi = arg.stick_Dphi_min + rand() * (arg.stick_Dphi_max - arg.stick_Dphi_min);
var stick_size_scale = 0.8 + 0.2 * rand();
for (var j=0; j<stick_length;j=j+1)
{
var y = stick_y;
var x = stick_x - 0.5 * stick_length * arg.cloud_spacing;
var inc = j * arg.cloud_spacing;
var pos_size_scale = base_size_scale + base_size_scale * 2.0* (1.0 - 2.0* math.abs(0.5 * stick_length - j)/stick_length);
local_weather.cloud_size_scale = pos_size_scale;
local_weather.cloud_size_scale = stick_size_scale * local_weather.cloud_size_scale;
inc = inc * stick_size_scale;
x = x + inc * math.cos(stick_Dphi);
y = y + inc * math.sin(stick_Dphi);
x = x - arg.Dx + 2.0 * rand() * arg.Dx;
y = y - arg.Dy + 2.0 * rand() * arg.Dy;
path = select_cloud_model(arg.type,"large");
var lat = arg.blat + m_to_lat * (y * math.cos(arg.dir) - x * math.sin(arg.dir));
var lon = arg.blon + m_to_lon * (x * math.cos(arg.dir) + y * math.sin(arg.dir));
var alt = arg.balt + arg.alt_var * 2 * (rand() - 0.5);
create_cloud_vec(path, lat, lon, alt, 0.0);
}
}
}
###########################################################
# place a nested domains pattern
###########################################################
var create_domains = func (arg) {
var path = "Models/Weather/blank.ac";
for (var j=0; j<arg.n_domains; j=j+1)
{
var domain_pos_x = -0.5 * arg.xsize + rand() * arg.xsize;
var domain_pos_y = -0.5 * arg.ysize + rand() * arg.ysize;
var domain_size_x = arg.min_domain_size_x + rand() * (arg.max_domain_size_x - arg.min_domain_size_x);
var domain_size_y = arg.min_domain_size_y + rand() * (arg.max_domain_size_y - arg.min_domain_size_y);
var n_node = int(arg.node_fraction * arg.n);
var n_halo = int(arg.halo_fraction * arg.n);
var n_bulk = arg.n - n_node - n_halo;
for (var i=0; i<n_halo; i=i+1)
{
var x = domain_pos_x - 0.5 * domain_size_x + rand() * domain_size_x;
var y = domain_pos_y - 0.5 * domain_size_y + rand() * domain_size_y;
var lat = arg.blat + m_to_lat * (y * math.cos(arg.dir) - x * math.sin(arg.dir));
var lon = arg.blon + m_to_lon * (x * math.cos(arg.dir) + y * math.sin(arg.dir));
var alt = arg.balt + arg.alt_var * 2 * (rand() - 0.5);
if ((math.abs(x-domain_pos_x) < 0.3 * domain_size_x) or (math.abs(y-domain_pos_y) < 0.3 * domain_size_y))
{path = select_cloud_model(arg.htype,arg.hsubtype);
create_cloud_vec(path, lat, lon, alt, 0.0);}
}
for (i=0; i<n_bulk; i=i+1)
{
x = domain_pos_x - 0.5 * 0.4* domain_size_x + rand() * 0.4* domain_size_x;
y = domain_pos_y - 0.5 * 0.4* domain_size_y + rand() * 0.4* domain_size_y;
lat = arg.blat + m_to_lat * (y * math.cos(arg.dir) - x * math.sin(arg.dir));
lon = arg.blon + m_to_lon * (x * math.cos(arg.dir) + y * math.sin(arg.dir));
alt = arg.balt + arg.alt_var * 2 * (rand() - 0.5);
if ((math.abs(x-domain_pos_x) < 0.4 * domain_size_x) or (math.abs(y-domain_pos_y) < 0.4 * domain_size_y))
{
path = select_cloud_model(arg.type,arg.subtype);
create_cloud_vec(path, lat, lon, alt, 0.0);
}
}
for (i=0; i<n_node; i=i+1)
{
x = domain_pos_x - 0.5 * 0.1* domain_size_x + rand() * 0.1* domain_size_x;
y = domain_pos_y - 0.5 * 0.1* domain_size_y + rand() * 0.1* domain_size_y;
lat = arg.blat + m_to_lat * (y * math.cos(arg.dir) - x * math.sin(arg.dir));
lon = arg.blon + m_to_lon * (x * math.cos(arg.dir) + y * math.sin(arg.dir));
alt = arg.balt + arg.alt_var * 2 * (rand() - 0.5);
path = select_cloud_model(arg.ntype,arg.nsubtype);
create_cloud_vec(path, lat, lon, alt, 0.0);
}
}
}
###########################################################
# place a Cumulus alley pattern
###########################################################
var create_cumulus_alleys = func (blat, blon, balt, alt_var, nx, xoffset, edgex, x_var, ny, yoffset, edgey, y_var, und_strength, direction, tri) {
var flag = 0;
var path = "Models/Weather/blank.ac";
local_weather.calc_geo(blat);
var dir = direction * math.pi/180.0;
var ymin = -0.5 * ny * yoffset;
var xmin = -0.5 * nx * xoffset;
var xinc = xoffset * (tri-1.0) /ny;
var jlow = int(nx*edgex);
var ilow = int(ny*edgey);
var und = 0.0;
var und_array = [];
var spacing = 0.0;
var spacing_array = [];
for (var i=0; i<ny; i=i+1)
{
und = und + 2.0 * (rand() -0.5) * und_strength;
append(und_array,und);
}
for (var i=0; i<nx; i=i+1)
{
spacing = spacing + 2.0 * (rand() -0.5) * 0.5 * xoffset;
append(spacing_array,spacing);
}
for (var i=0; i<ny; i=i+1)
{
var y = ymin + i * yoffset;
var xshift = 2.0 * (rand() -0.5) * 0.5 * xoffset;
x_var = 0.0; xshift = 0.0;
for (var j=0; j<nx; j=j+1)
{
var y0 = y + y_var * 2.0 * (rand() -0.5);
var x = xmin + j * (xoffset + i * xinc) + x_var * 2.0 * (rand() -0.5) + spacing_array[j] + und_array[i];
var lat = blat + m_to_lat * (y0 * math.cos(dir) - x * math.sin(dir));
var lon = blon + m_to_lon * (x * math.cos(dir) + y0 * math.sin(dir));
var alt = balt + alt_var * 2 * (rand() - 0.5);
flag = 0;
var strength = 0.0;
var rn = 6.0 * rand();
if (((j<jlow) or (j>(nx-jlow-1))) and ((i<ilow) or (i>(ny-ilow-1)))) # select a small or no cloud
{
if (rn > 2.0) {flag = 1;} else {strength = 0.3 + rand() * 0.5;}
}
if ((j<jlow) or (j>(nx-jlow-1)) or (i<ilow) or (i>(ny-ilow-1)))
{
if (rn > 5.0) {flag = 1;} else {strength = 0.7 + rand() * 0.5;}
}
else { # select a large cloud
if (rn > 5.0) {flag = 1;} else {strength = 1.1 + rand() * 0.6;}
}
if (flag==0){create_detailed_cumulus_cloud(lat, lon, alt, strength); }
}
}
}
###########################################################
# place a Cumulus alley pattern
###########################################################
var create_developing_cumulus_alleys = func (blat, blon, balt, alt_var, nx, xoffset, edgex, x_var, ny, yoffset, edgey, y_var, und_strength, direction, tri) {
var flag = 0;
var path = "Models/Weather/blank.ac";
local_weather.calc_geo(blat);
var dir = direction * math.pi/180.0;
var ymin = -0.5 * ny * yoffset;
var xmin = -0.5 * nx * xoffset;
var xinc = xoffset * (tri-1.0) /ny;
var jlow = int(nx*edgex);
var ilow = int(ny*edgey);
var und = 0.0;
var und_array = [];
var spacing = 0.0;
var spacing_array = [];
for (var i=0; i<ny; i=i+1)
{
und = und + 2.0 * (rand() -0.5) * und_strength;
append(und_array,und);
}
for (var i=0; i<nx; i=i+1)
{
spacing = spacing + 2.0 * (rand() -0.5) * 0.5 * xoffset;
append(spacing_array,spacing);
}
for (var i=0; i<ny; i=i+1)
{
var y = ymin + i * yoffset;
var xshift = 2.0 * (rand() -0.5) * 0.5 * xoffset;
x_var = 0.0; xshift = 0.0;
for (var j=0; j<nx; j=j+1)
{
var y0 = y + y_var * 2.0 * (rand() -0.5);
var x = xmin + j * (xoffset + i * xinc) + x_var * 2.0 * (rand() -0.5) + spacing_array[j] + und_array[i];
var lat = blat + m_to_lat * (y0 * math.cos(dir) - x * math.sin(dir));
var lon = blon + m_to_lon * (x * math.cos(dir) + y0 * math.sin(dir));
var alt = balt + alt_var * 2 * (rand() - 0.5);
flag = 0;
var strength = 0.0;
var rn = 6.0 * rand();
if (((j<jlow) or (j>(nx-jlow-1))) and ((i<ilow) or (i>(ny-ilow-1)))) # select a small or no cloud
{
if (rn > 2.0) {flag = 1;} else {strength = 0.1 + rand() * 0.5;}
}
if ((j<jlow) or (j>(nx-jlow-1)) or (i<ilow) or (i>(ny-ilow-1)))
{
if (rn > 5.0) {flag = 1;} else {strength = 0.4 + rand() * 0.5;}
}
else { # select a large cloud
if (rn > 5.0) {flag = 1;} else {strength = 0.6 + rand() * 0.6;}
}
if (flag==0){create_detailed_cumulus_cloud(lat, lon, alt, strength); }
}
}
}
###########################################################
# place a cloud layer
###########################################################
var create_layer = func (type, blat, blon, balt, bthick, rx, ry, phi, density, edge, rainflag, rain_density) {
var i = 0;
var area = math.pi * rx * ry;
var circ = math.pi * (rx + ry); # that's just an approximation
var n = int(area/80000000.0 * 100 * density);
var m = int(circ/63000.0 * 40 * rain_density);
var path = "Models/Weather/blank.ac";
#print("density: ",n);
phi = phi * math.pi/180.0;
if (contains(local_weather.cloud_vertical_size_map, type))
{var alt_offset = cloud_vertical_size_map[type]/2.0 * m_to_ft;}
else {var alt_offset = 0.0;}
while(i<n)
{
var x = rx * (2.0 * rand() - 1.0);
var y = ry * (2.0 * rand() - 1.0);
var alt = balt + bthick * rand() + 0.8 * alt_offset;
var res = (x*x)/(rx*rx) + (y*y)/(ry*ry);
if (res < 1.0)
{
var lat = blat + m_to_lat * (y * math.cos(phi) - x * math.sin(phi));
var lon = blon + m_to_lon * (x * math.cos(phi) + y * math.sin(phi));
if (res > ((1.0 - edge) * (1.0- edge)))
{
if (rand() > 0.4) {
path = select_cloud_model(type,"small");
if (thread_flag == 1)
{create_cloud_vec(path, lat, lon, alt, 0.0);}
else
{compat_layer.create_cloud(path, lat, lon, alt, 0.0);}
}
}
else {
path = select_cloud_model(type,"large");
if (thread_flag == 1)
{create_cloud_vec(path, lat, lon, alt, 0.0);}
else
{compat_layer.create_cloud(path, lat, lon, alt, 0.0);}
}
i = i + 1;
}
}
i = 0;
if (rainflag ==1){
if (local_weather.hardcoded_clouds_flag == 1) {balt = balt + local_weather.offset_map[type]; }
while(i<m)
{
var alpha = rand() * 2.0 * math.pi;
x = 0.8 * (1.0 - edge) * (1.0-edge) * rx * math.cos(alpha);
y = 0.8 * (1.0 - edge) * (1.0-edge) * ry * math.sin(alpha);
lat = blat + m_to_lat * (y * math.cos(phi) - x * math.sin(phi));
lon = blon + m_to_lon * (x * math.cos(phi) + y * math.sin(phi));
path = "Models/Weather/rain1.xml";
if (contains(cloud_vertical_size_map,type)) {var alt_shift = cloud_vertical_size_map[type];}
else {var alt_shift = 0.0;}
if (thread_flag == 1)
{create_cloud_vec(path, lat, lon,balt +0.5*bthick+ alt_shift, 0.0);}
else
{compat_layer.create_cloud(path, lat, lon, balt + 0.5 * bthick + alt_shift, 0.0);}
i = i + 1;
} # end while
} # end if (rainflag ==1)
}
###########################################################
# place a Cumulus layer with excluded regions
# to avoid placing cumulus underneath a thunderstorm
###########################################################
var cumulus_exclusion_layer = func (blat, blon, balt, n, size_x, size_y, alpha, s_min, s_max, n_ex, exlat, exlon, exrad) {
var strength = 0;
var flag = 1;
var phi = alpha * math.pi/180.0;
var i_max = int(0.35*n);
for (var i =0; i< i_max; i=i+1)
{
var x = (2.0 * rand() - 1.0) * size_x;
var y = (2.0 * rand() - 1.0) * size_y;
var lat = blat + (y * math.cos(phi) - x * math.sin(phi)) * m_to_lat;
var lon = blon + (x * math.cos(phi) + y * math.sin(phi)) * m_to_lon;
flag = 1;
for (var j=0; j<n_ex; j=j+1)
{
if (calc_d_sq(lat, lon, exlat[j], exlon[j]) < (exrad[j] * exrad[j])) {flag = 0;}
}
if (flag == 1)
{
strength = s_min + rand() * (s_max - s_min);
create_detailed_cumulus_cloud(lat, lon, balt, strength);
}
} # end for i
}